https://replica.wiki.extremist.software/api.php?action=feedcontributions&feedformat=atom&user=WeisburdNoisebridge - User contributions [en]2026-04-06T07:15:40ZUser contributionsMediaWiki 1.39.13https://replica.wiki.extremist.software/index.php?title=Probability&diff=15016Probability2010-12-15T09:51:16Z<p>Weisburd: </p>
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<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* We'll be reading the book, doing problems.<br />
* When: Tuesday (12/21) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - the computer room (turing classroom)<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 12/14/2010 - continuous random variables - part 2 - 2nd half of Bertsekas and Tsitsiklis Chapter 3<br />
* 12/07/2010 - continuous random variables - part 1 - chapter 3 of Bertsekas & Tsitsiklis <br />
* 11/30/2010 - discrete random variables - chapter 2 of Bertsekas & Tsitsiklis ([https://www.noisebridge.net/wiki/File:Discrete_Random_Variables2.ppt slides]).<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
*John<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Category:Events&diff=14949Category:Events2010-12-10T01:28:38Z<p>Weisburd: /* Recurring Events edit */</p>
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<div><!-- Note that this page uses transclusion. Content between the "onlyinclude" tags below will be pushed to the main page --><br />
Official, Semi-Official, one-off and other events at the Noisebridge space.<br />
<br />
=Event Calendar=<br />
Not all events make it onto this calendar. Many events only make it to the Discussion or Announcements [[Mailinglist | mailing lists]], [[IRC]] or in person at [[Category:Meeting_Notes | Tuesday meetings]]. Best of all, Noisebridge is about people getting together at the space in San Francisco to do stuff... like in person. Some events just happen. Pay attention!<br />
<br />
Event posters are encouraged to crosspost to the Google Calendar. View the [http://www.google.com/calendar/embed?src=vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com&ctz=America/Los_Angeles Google Calendar], view the [http://www.google.com/calendar/feeds/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic Google Calendar in XML], or the [http://www.google.com/calendar/ical/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic.ics Google Calendar in ical] format.<br />
<br />
To post Google Calendar entries for your event, contact a Noisebridge member for access.<br />
<br />
(Wouldn't it be great if there were a gCal mediawiki plugin so crossposting wasn't needed? Do you know of a good one? Help us!) <- working on this, need to upgrade Mediawiki in order to use some plugins.<br />
<!-- Items inside this "onlyinclude" tag will be pushed to the main page --><onlyinclude><br />
=== Upcoming Events <small>[https://www.noisebridge.net/index.php?title=Category:Events&action=edit&section=2 edit]</small> ===<br />
<br />
*'''Sunday, December 5th, 11am Learn to Solder Surface Mount Workshop''': [User:Jbm] will be walking people through putting together a [http://www.appliedplatonics.com/badge/ Surface Mount Soldering Merit Badge] kit. The kit is $10, the class is free, though donations to Noisebridge are strongly suggested.<br />
<br />
*'''Monday, December 6th, 7PM [[EagleCAD workshop]]''': Learn to capture schematics and design printed circuit boards using EagleCAD. The hands-on workshop is free, though donations to Noisebridge are in excellent taste.<br />
<br />
* '''Sunday, December 12th, 6:30pm [http://www.meetup.com/Games-For-Change/29448/ Games For Change Bay Area Meetup]''': Games for Change is a non-profit that harnesses the power of digital games to address the most pressing issues of our day. We serve as a platform for organizations and individuals to share best practices, exchange knowledge, incubate new projects and provide access to those seeking to use digital games to positively impact society. Come meet other game changers! Contacts: Alex Peake, Mary Wharmby.<br />
<br />
* '''Tuesday, December 14th, 6:30pm [http://www.meetup.com/makesf/calendar/15619895/ Make:SF Meetup]''': Make:SF is coming back to Noisebridge and this time we will be doing liquid nitrogen ice cream! So get your recipe together and come make some good stuff. This fun-for-all-ages event starts at 6:30pm. Children under 14 need to be accompanied by an adult.<br />
<br />
* '''Wednesday, December 15th, 7:00pm [http://tech.dir.groups.yahoo.com/group/SFmicrocontrollers SF Microcontroller Club]''': '''MEETING MOVED TO CARL'S PLACE, A FEW BLOCKS AWAY FROM NOISEBRIDGE -- FOR INFO, PLEASE SEE [http://tech.dir.groups.yahoo.com/group/SFmicrocontrollers SF Microcontroller Club].''' Informal and friendly meetups with a few presentations of about 15-30 minutes, intermixed with Q/A. Topics covered may or may not involve microcontrollers, but usually interface with electronics in some way. All welcome.<br />
<br />
=== Recurring Events <small>[https://www.noisebridge.net/index.php?title=Category:Events&action=edit&section=3 edit]</small> ===<br />
<!-- Large turnout events should be written in '''bold'''. --><br />
* '''Monday'''<br />
** Anytime [[House_Keeping#Trash_and_Recycling|Trash Night]] - Don't forget to take out the trash for Tuesday morning!<br />
** '''18:00 [[iPhone OS developer weekly meetup]]''' - We make teh applukashuns, joyn us 2 make dem 2! http://meetup.com/iphonedevsf<br />
** 18:30 [[PyClass]] - Learn how to program using the Python programming language.<br />
** '''19:00 [[Circuit Hacking Mondays]]''' - Learn to solder! Mitch will bring kits to make cool, hackable things that you can bring home after you make them. Bring your own projects to hack!<br />
** 19:00 1st and 3rd Mondays the BACE Timebank group meets to help organize community mutual aid by trading in equal time credits, wherever there is space. For more info. mira (at) sfbace.org or to join go to timebank.sfbace.org<br />
* '''Tuesday'''<br />
** 15:00 [[Linux System Administration Study Group]] - Study Linux admining in the Turing classroom.<br />
** 17:00 Food Hacking Class - [[Tastebridge]]<br />
** 18:30 Bay Area Community Exchange Project Roundtable Meeting (third Tues. of every month)-discussion of alternative currencies in the back classroom.<br />
** 19:00 [[ruby_class|Ruby Class]] 7pm-9pm<br />
<!--On haitus? Pls update ** 19:00 [[Origami|Learn You A Origami!]] - Learn how make folded-paper models. Beginners welcome!--><br />
** 19:30 [[Probability]] study group<br />
** '''20:00 [[#Meetings|Noisebridge Weekly Meeting]]''' - Introducing new people and events to the space, general discussion, and decision making.<br />
** 21:00 [[Hack-mobile]] This is a meeting for the hack-mobile project. We will go through the concept developing it further and deciding "how" to make this happened. All the info is on the webpage dedicated to this project, don't be shy and bring in your ideas!<br />
* '''Wednesday'''<br />
** 18:00 [[LinuxDiscussion|Linux Discussion]] - Play with Linux in the Turing classroom.<br />
<!--Weekly? Pls update ** '''17:00 '''[[BarCamp Staff Meeting]] - Meeting for BarCamp Staff to discuss plans for San Francisco BarCamp.--><br />
** '''18:00 [[Gamebridge|Gamebridge Unityversity]]''' - Collab and learn to make video games with geeks, if it's your first night you will actually get to make a game!<br />
** '''18:00 [[BarCamp|Barcamp Staffing]]''' - Interested in helping out with BarCamp SF our planning meetings start officially at 18:00.<br />
** 18:00 Brewing Course - [[Tastebridge]]<br />
** '''19:00 [[SCoW]]''' - Sewing, Crafting, Or Whatever! Come make cool stuff with geeks.<br />
** '''19:30 [[Machine Learning]]''' - Teach computers to learn stuff using artificial intelligence and other techniques.<br />
* '''Thursday'''<br />
** Anytime [[House_Keeping#Trash_and_Recycling|Trash Night]] - Don't forget to take out the trash for Friday morning!<br />
** 18:30 every 2nd Thursday: [[Arduino!]] - free informal workshop/playshop for beginners and advanced users alike. ARDUINO IS ON VACATION AND WILL RESUME ON 1/13<br />
** 19:30 [[Games]] - Play games with geeks.<br />
** '''20:00 [[Five_Minutes_of_Fame | Five Minutes of Fame]]''' (3rd Thursdays)<br />
* '''Friday''' <br />
** 15:00 [[Linux System Administration Study Group]] - Study Linux admining in the Turing classroom. <br />
** 19:00 [[Science, Engineering & Design Huddle]] - Weekly group to discuss design approach, share techniques, and solve any problem you may be having with your project(s).<br />
** 20:00 [[Moving/2169 Mission/Buildout|2169 Buildout planning]] - Discussion & execution of how to renovate our new space.<br />
<!--** 18:00 [[RantMeet]] (1st Fridays) [http://www.rantmedia.ca Rant Media] is a global hacker/survival/indy media phyle that meets up around the world.--><br />
<br />
* '''Saturday'''<br />
<!--** 20:00 [[NSFW]] - Now Showing From the Web, last Saturday of the month. Share interesting videos you've found on the web for the past month or bring content you made.--><br />
** 16:00 [[Pwn Your Own]] - Pwn Your Own is your chance to learn about every day security threats to every day internet activities. Designed for hackers at all levels, (1st Saturday).<br />
* '''Sunday'''<br />
** 14:00 [http://baha.bitrot.info/ Bay Area Hacker's Association - security meeting] (2nd Sundays)<br />
** '''15:00 [[Go]]''' - Playing of the Go boardgame. On nice days we often take the boards to Dolores Park and play there.<br />
** 15:00 [[Locks!]] - Lock sport, sundays when there is demand. ( See [[locks!]] for more information. )<br />
<!--Happening? pls update ** 17:00 [[Rsync Users Group]] - A twelve step program for those who have poor *nix habits.--><br />
** 18:00 [[Spacebridge]] - Noisebridge's space program<br />
** 18:00 [[Code Bridge]] - Codebridge projects time get help write code or help others with their code<br />
<br />
</onlyinclude><br />
<br />
=== Proposed Future Events and Classes ===<br />
<br />
:'''(TBD)''': [[Probability]] - Weekly probability study group based on [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake<br />
:'''(TBD)''': [[German]] - Learn German, all levels. 7pm beginners, 8pm advanced. RSVP 24 hours in advance for the benefit of the instructor. Events ran May-November 2009 on Mondays. Currently on hiatus. Get on the mailing list.<br />
:'''(TBD)''': [[Mandarin Corner|Mandarin]] - Learn or practice Mandarin, all levels. Also currently on hiatus. Get on the mailing list.<br />
:'''(TBD)''': [[Movie Night!]] - [[User:ThOMG|Thom]] wants to build community through nerdy sci-fi! (+Bill+Ted+Excellence++)<br />
:'''(TBD)''': [[Introduction to the AVR Microcontroller]] - [[User:Mightyohm|Jeff]] and [[User:Maltman23|Mitch]] are planning an introductory class for people wanting to make cool projects with AVRs.<br />
:'''(TBD)''': [[Basic Chemistry Lab Techniques]]<br />
:'''(TBD)''': [[Cuddle Puddle for the Economy]] - Stress-hacking with informal massage exchange.<br />
:'''(TBD)''': [[Milk and Cookies]] - Come read your favorite selections out loud. With Milk and Cookies (and yeah, probably beer too).<br />
:'''(TBD)''': [[Processing Workshop 2]] - [[User:Scmurray|Scott]] is interested in teaching this, and is busy thinking about what, where, when, why, and how.<br />
:'''(TBD)''': [[Hack your Hardware]] -- We call BS on "no user-serviceable parts inside"<br />
:'''(TBD)''': [[Homebrew Instruction Class]] - The Wort (pt 1/3)<br />
:'''(TBD)''': [[Trip to Shooting Range]] - Field trip to a shooting range, to shoot guns. Express interest at [[Trip to Shooting Range]]<br />
:'''(TBD)''': [[Surface Mount Soldering Workshop]] - Learn how to solder cicuits with small surface mount parts. [[User:maltman23|Mitch Altman]] and Martin Bogomolni and others will show their tricks. [[User:maltman23|Mitch]] will bring hackable kits that uses surface mounts for you to solder.<br />
:'''(TBD)''' - [[Locksport and Lockpicking]]<br />
:'''(TBD)''' - [[Version control tutorial]]<br />
:'''(TBD)''' - [[Foreign language learning for rocket scientists]] - I'm near-native (fool people when I try) in (French and) Japanese, and a pro trans/terpreter and will share my shortcuts (skill-order, vocab, speed/articulation, translation≅grammar). No expertise on tonal languages yet... so if you know how to remember tones or how tone-sandhi interacts with speed and/or how nuances of speaker attitude are expressed in them (what we do with rythm/inflection/sentence-intonation and stress in Eng., and with particles and ??? in e.g. Cantonese) please chime in or call me (415-608-0564) so I can convey your wisdom. [also looking for a from-scratch Arabic partner]<br />
:'''(TBD)''': [[Getting started with Arduino]]<br />
:'''(TBD)''': [[Distributed Databases]]<br />
:'''(TBD)''': [[Scrum Club]] - I though I'd test the waters and see if anyone was interested in a noisebridge scrum club details are here http://scrumclub.org/scrum-clubs/ if inturested hit me up twitter: @theabcasian, facebook: http://www.facebook.com/theabcasian<br />
:'''(TBD)''': [[CNC Mill Workshop]] - Who wants to make stuff on the [[MaxNCMill]]?<br />
:'''(TBD)''': [[Math & Science Help]] - If you would like some math, science or engineering help, I'm down to lend a hand.<br />
:'''(TBD)''': [[Cyborg Group|Cyborg Group / Sensebridge]] - Work on projects like artificial senses. Someone needs to lead this!<br />
:'''(TBD)''': [[OpenEEG]] - Brain tech. Has historically met on Sundays, at the behest of interested parties.<br />
:'''(TBD)''': [[Programming_for_Poets | Programming for Poets]] - Gentle intro to programming using Processing<br />
<br />
= Past Events =<br />
===2010===<br />
* '''Sunday, August 22, 19:00 CLUB-MATE DROPOFF AND TASTING PARTY''' Nick Farr will be in town to drop off Club-Mate ordered by San Franciscans!<br />
* '''June 5th, 12:00-19:00 - [[NoiseBridgeRehab]]''' - Help make the space more usable and accessible! Noisebridge needs your help!<br />
* '''June 5th, 16:00-20:00 - [[Science For Juggalos]]''' - Science Fair in front of the Warfield Theater teaching magnetism to Juggalos<br />
* '''June 6th, 15:00 - [[AVC Meetup]]''' - Entrepreneurial bonding & matchmaking<br />
* '''June 9th, 21:00 - Your liver supports Noisebridge''' - Come to Elixir @ 16th & Guerrero anytime after 21:00 and drink, drink, drink! 50% of tips go to Noisebridge<br />
* '''February 27th, 20:00 - [[Hacker EPROM]]''' - Noisebridge's first prom! Nice tie and a (robot) date required. We will have a DJ and punch.<br />
* '''February 24th, 19:00, Wednesday - Joris Peels, of [http://www.shapeways.com Shapeways]''', and expert on 3D printing, will give a [[ShaperwaysPresentation | talk and demonstration]] at Noisebridge!.<br />
* '''February 23rd, 18:00 - Cleaning day''' - Come and help clean Noisebridge, because everyone loves a clean hack space.<br />
* '''February 12th, 21:00 - visit from Steve Jackson'''. Game designer [http://en.wikipedia.org/wiki/Steve_Jackson_%28US_game_designer%29 Steve Jackson], founder of Steve Jackson Games, will visit Noisebridge.<br />
* '''January 27th, 18:00-20:00 - [[beatrixjar event|Circuit Bending Workshop]]''' - [http://www.beatrixjar.com/ Beatrix*JAR] (contact [[User:Gpvillamil|Gian Pablo]] for more info)<br />
* '''January 27th, 20:00-22:00 - [[beatrixjar event|Circuit Bending Performance]]''' - [http://www.beatrixjar.com/ Beatrix*JAR] - "Celebrate a night of new sound that will change your idea of music forever!"<br />
* '''January 25th, 19:30 - [[Bag Porn]]''' - What's in your bag?<br />
* '''January 20th, 19:00-21:00 - [http://groups.google.com/group/bacat/about Bay Categories & Types]''' - Categories, monoids, monads, functors and more! Held in the Alonzo Church classroom.<br />
* '''January 20th, 19:00 - [[User Experience Book Club SF]]''' - Our book this month is "A Theory of Fun for Game Design" by Raph Koster - http://is.gd/6sEqw (meets in Turing)<br />
* '''January 21st, 20:00 - [[Five Minutes of Fame]]''' - Monthly set of lightning talks on diverse topics<br />
* '''January 22nd, 17:00 - [[CleaningParty| Cleaning Party]]''' - Come help clean up Noisebridge! Awsum fun!<br />
* ...January 14th,16th, and 17th 1:00- ??? Build Out day for kitchen/bathroom/laundry bring yourself and a good attitude, learn a few things as well<br />
* '''January 15th, 18:00 - [[CNC_Mill_Workshop]]''' - Learn to use the CNC mill for 2D engraving and circuit board routing<br />
* Thursdays 17:00 [[ASL Group|American Sign Language]] - Learn how to talk without using your voice (or just come chat in ASL). <small>[http://whenisgood.net/noisebridge/asl/generic click to reschedule]</small><br />
<br />
===2009===<br />
* '''November 18th, 19:30''' - [[Dorkbot_2009_11_18|Dorkbot]]<br />
* '''November 19th, 18:00''' - [[Mesh meetup]]<br />
* '''November 19th, 20:00''' - [[Five Minutes of Fame]]<br />
* '''November 20th, 18:00''' - Loud Objects [http://www.flickr.com/photos/createdigitalmedia/3428249036/ Noise Toy workshop].<br />
* '''November 20th, 20:00''' - Performance by [http://www.loudobjects.com/ Loud Objects], (featuring Tristan Perich and Lesley Flanigan) and [http://www.myspace.com/jibkidder Jib Kidder].<br />
:'''2009-11-05''' - [http://www.server-sky.com/ Server Sky presentation: Internet and Computation in Orbit] by Keith Lofstrom<br />
:'''2009-11-05''' - [[Mesh meetup]]<br />
:'''2009-11-02''' - [[French]] book club meeting to discuss [http://www.amazon.com/exec/obidos/tg/detail/-/2842612892/ref=ord_cart_shr?_encoding=UTF8&m=ATVPDKIKX0DER&v=glance Une Si Longue Lettre]<br />
: ''' October 1st, 18:00''' - [[Wireless_Mesh_Network_Meetup | Mesh wireless meetup]]<br />
: ''' October 1st, 19:00''' - [http://groups.google.com/group/bacat Bay Area Categories and Types]<br />
: '''2009-10-03''' [[Year 1 Open Hacker House]]<br />
:'''Friday''': [[CrazyCryptoNight]] - Discussion of cryptography for beginners through experts. 6-???<br />
:'''Sunday''' : [[OpenEEG | OpenEEG Hacking]] Sundays, at 3-5pm.<br />
:'''Tuesday''': [[Haskell/Haschool]] - Learn Haskell with Jason Dusek. 6PM - 7:30PM, from May until we're all experts.<br />
:'''Wednesday''': [[Adobe_Lightroom|Adobe Lightroom]] - Become a more organized photographer. Weekly class (mostly held off site).<br />
:'''Thursday''': [[Professional VFX Compositing With Adobe After Effects]] - Taught by [[User:SFSlim|Aaron Muszalski]]. 7:30PM - 10PM, most Thursdays in May & June & ? (click through dammit)<br />
:'''2009-09-17''': [[Five Minutes of Fame]] 3D Edition<br />
:'''2009-09-17''': [[Wireless Mesh Network Meetup | Mesh wireless meetup]]<br />
:'''2009-08-20''': [[Five Minutes of Fame]] One Dee Edition<br />
:'''2009-07-16''': [[Five Minutes of Fame]] Zero Dee<br />
:'''2009-07-02 - 2009-07-05''': [http://toorcamp.org Toorcamp]<br />
:'''2009-07-01''': Noisedroid meeting to discuss location logging on Android platform (and other stuff too, I'm sure)<br />
:'''2009-06-30''': [[Powerbocking Class|Powerbocking class]]<br />
:'''2009-06-30''': "Suing Telemarketers for Fun and Profit" (Toorcamp talk preview)<br />
:'''2009-06-28''': "Meditation for Hackers" (Toorcamp workshop preview)<br />
:'''2009-06-18''': [[Five Minutes of Fame]]<br />
:'''2009-06-15''': [[Eagle Workshop]] Session two of the Eagle CAD workshop.<br />
:'''2009-06-13''': [[RoboGames 2009]] Noisebridge had a booth staffed by vounteers, great fun!<br />
:'''2009-05-21''': [[Five Minutes of Fame]]<br />
:'''2009-04-27''': [[EagleCAD workshop]] -- learn to use this CAD tool for printed circuit board design<br />
:'''2009-04-16''': [[Five Minutes of Fame]] April showers & flowers edition<br />
:'''2009-04-11''': [[RFID Hacking]] weekend workshop (this event moved from the original March date)<br />
:'''2009-04-05''': [[First aid and CPR class]] Learning how to not only not die, but also reduce scarring!<br />
:'''2009-04-03''': [[Sudo pop]] 2PM and on. Making the first batch of a Noisebridge label yerba mate-niated rootbrew, gratis and DIY<br />
:'''2009-03-26''': [[OpenEEG | OpenEEG Hacking]] first meet up for this new group: 8 pm<br />
:'''2009-03-19''': [[Five Minutes of Fame]]<br />
:'''2009-03-12''': [[OpenBTS and GSM]] talk by David Burgess<br />
:'''2009-02-14''': [[Open Heart Workshop]] Valentine's Day blinkyheart soldering party! <br />
:'''2009-02-13''': [[Time-t_Party|<tt>time_t</tt> Party]] to celebrate 1,234,567,890 since the Unix epoch.<br />
:'''2009-02-09''': [[Spanish learning at 8:30]]<br />
:'''2009-02-05''': [[PGP Key Workshop]]<br />
:'''2009-01-31''': [[Locksport and Lockpicking]]<br />
<br />
===2008===<br />
:'''2008-12-27''': [[25C3]] Chaos Computer Congress in Berlin<br />
:'''2008-12-20 & 21''': [[Creme Brulee]] Workshop on creating a french dessert, with bonus propane torch.<br />
:'''2008-12-17 20:00''': [[Machine Learning]] Birds-of-a-feather<br />
:'''2008-11-24''': [[Circuit Hacking Monday]] circuit design workshop<br />
:'''2008-11-21, 7pm''':[[Milk and Cookies]] -- [[User:Dmolnar|David Molnar]] hosts Milk and Cookies at 83C. Bring a short 5-7minute thing to read to others. Bring a potluck cookie/snack/drink if you like. David will bring milk and cookies.<br />
:'''2008-11-17, 7:30pm''': [[Basic Bicycle Maintain]] - [[User:rubin110|Rubin]] and [[User:rigel|rigel]] hate it when we see a bike that isn't maintained. Screechy chains and clacking derailleur can go to hell. Basic bike tune up, sharing the smarts on simple things you can do at home to make your ride suck a whole lot less.<br />
:'''2008-11-16, 5:00pm''': [[RepRap Soldering Party]] - help assemble RepRap! RSVPs required on wiki! [[User:Adi|adi]]<br />
:'''2008-11-16, 3:00pm''': [[Oscilloscopes]] - Learn how to use this versatile tool to test electronic circuits. Maximum 6 slots, please sign up ahead of time! [[User:dstaff|dstaff]]<br />
:'''2008-10-31''': [[Halloween Open House]] - NoiseBridge's own [[PPPC]] threw an awesome open house/halloween gala. Post pictures if you got 'em!<br />
:'''2008-10-25''': [[Soldering Workshop]] and Pumpkin Hackin' - Learn to solder for total newbies (or learn to solder better!), including surface mount. Additionally, carve your halloween pumpkins and enjoy some experimental pumpkin pie and/or soup.<br />
:'''2008-10-07''': (tuesday before meeting) - Etch a circuit board. I'll be trying a photo resist etching and a basic printed mask etching. This is step 1/3 for a project called "annoying USB thingie" which will execute pre-defined keystrokes by sneaking a tiny USB dongle onto a victim^h^h^h^h^h buddy's computer.<br />
:'''2008-09-13''': [[Processing Workshop]] — Learn this very easy-to-use programming language! - [[Processing Workshop Report]]<br />
:'''2008-02-16''': [[Brain Machine Workshop|Brain Machine Making Workshop]]: Our first hardware sprint!</div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Category:Events&diff=14948Category:Events2010-12-10T01:28:18Z<p>Weisburd: /* Recurring Events edit */</p>
<hr />
<div><!-- Note that this page uses transclusion. Content between the "onlyinclude" tags below will be pushed to the main page --><br />
Official, Semi-Official, one-off and other events at the Noisebridge space.<br />
<br />
=Event Calendar=<br />
Not all events make it onto this calendar. Many events only make it to the Discussion or Announcements [[Mailinglist | mailing lists]], [[IRC]] or in person at [[Category:Meeting_Notes | Tuesday meetings]]. Best of all, Noisebridge is about people getting together at the space in San Francisco to do stuff... like in person. Some events just happen. Pay attention!<br />
<br />
Event posters are encouraged to crosspost to the Google Calendar. View the [http://www.google.com/calendar/embed?src=vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com&ctz=America/Los_Angeles Google Calendar], view the [http://www.google.com/calendar/feeds/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic Google Calendar in XML], or the [http://www.google.com/calendar/ical/vo3i3c0qtjnkjr2ojasd0ftt8s%40group.calendar.google.com/public/basic.ics Google Calendar in ical] format.<br />
<br />
To post Google Calendar entries for your event, contact a Noisebridge member for access.<br />
<br />
(Wouldn't it be great if there were a gCal mediawiki plugin so crossposting wasn't needed? Do you know of a good one? Help us!) <- working on this, need to upgrade Mediawiki in order to use some plugins.<br />
<!-- Items inside this "onlyinclude" tag will be pushed to the main page --><onlyinclude><br />
=== Upcoming Events <small>[https://www.noisebridge.net/index.php?title=Category:Events&action=edit&section=2 edit]</small> ===<br />
<br />
*'''Sunday, December 5th, 11am Learn to Solder Surface Mount Workshop''': [User:Jbm] will be walking people through putting together a [http://www.appliedplatonics.com/badge/ Surface Mount Soldering Merit Badge] kit. The kit is $10, the class is free, though donations to Noisebridge are strongly suggested.<br />
<br />
*'''Monday, December 6th, 7PM [[EagleCAD workshop]]''': Learn to capture schematics and design printed circuit boards using EagleCAD. The hands-on workshop is free, though donations to Noisebridge are in excellent taste.<br />
<br />
* '''Sunday, December 12th, 6:30pm [http://www.meetup.com/Games-For-Change/29448/ Games For Change Bay Area Meetup]''': Games for Change is a non-profit that harnesses the power of digital games to address the most pressing issues of our day. We serve as a platform for organizations and individuals to share best practices, exchange knowledge, incubate new projects and provide access to those seeking to use digital games to positively impact society. Come meet other game changers! Contacts: Alex Peake, Mary Wharmby.<br />
<br />
* '''Tuesday, December 14th, 6:30pm [http://www.meetup.com/makesf/calendar/15619895/ Make:SF Meetup]''': Make:SF is coming back to Noisebridge and this time we will be doing liquid nitrogen ice cream! So get your recipe together and come make some good stuff. This fun-for-all-ages event starts at 6:30pm. Children under 14 need to be accompanied by an adult.<br />
<br />
* '''Wednesday, December 15th, 7:00pm [http://tech.dir.groups.yahoo.com/group/SFmicrocontrollers SF Microcontroller Club]''': '''MEETING MOVED TO CARL'S PLACE, A FEW BLOCKS AWAY FROM NOISEBRIDGE -- FOR INFO, PLEASE SEE [http://tech.dir.groups.yahoo.com/group/SFmicrocontrollers SF Microcontroller Club].''' Informal and friendly meetups with a few presentations of about 15-30 minutes, intermixed with Q/A. Topics covered may or may not involve microcontrollers, but usually interface with electronics in some way. All welcome.<br />
<br />
=== Recurring Events <small>[https://www.noisebridge.net/index.php?title=Category:Events&action=edit&section=3 edit]</small> ===<br />
<!-- Large turnout events should be written in '''bold'''. --><br />
* '''Monday'''<br />
** Anytime [[House_Keeping#Trash_and_Recycling|Trash Night]] - Don't forget to take out the trash for Tuesday morning!<br />
** '''18:00 [[iPhone OS developer weekly meetup]]''' - We make teh applukashuns, joyn us 2 make dem 2! http://meetup.com/iphonedevsf<br />
** 18:30 [[PyClass]] - Learn how to program using the Python programming language.<br />
** '''19:00 [[Circuit Hacking Mondays]]''' - Learn to solder! Mitch will bring kits to make cool, hackable things that you can bring home after you make them. Bring your own projects to hack!<br />
** 19:00 1st and 3rd Mondays the BACE Timebank group meets to help organize community mutual aid by trading in equal time credits, wherever there is space. For more info. mira (at) sfbace.org or to join go to timebank.sfbace.org<br />
* '''Tuesday'''<br />
** 15:00 [[Linux System Administration Study Group]] - Study Linux admining in the Turing classroom.<br />
** 17:00 Food Hacking Class - [[Tastebridge]]<br />
** 18:30 Bay Area Community Exchange Project Roundtable Meeting (third Tues. of every month)-discussion of alternative currencies in the back classroom.<br />
** 19:00 [[ruby_class|Ruby Class]] 7pm-9pm<br />
<!--On haitus? Pls update ** 19:00 [[Origami|Learn You A Origami!]] - Learn how make folded-paper models. Beginners welcome!--><br />
** 19:30 [[Probability]] study group.<br />
** '''20:00 [[#Meetings|Noisebridge Weekly Meeting]]''' - Introducing new people and events to the space, general discussion, and decision making.<br />
** 21:00 [[Hack-mobile]] This is a meeting for the hack-mobile project. We will go through the concept developing it further and deciding "how" to make this happened. All the info is on the webpage dedicated to this project, don't be shy and bring in your ideas!<br />
* '''Wednesday'''<br />
** 18:00 [[LinuxDiscussion|Linux Discussion]] - Play with Linux in the Turing classroom.<br />
<!--Weekly? Pls update ** '''17:00 '''[[BarCamp Staff Meeting]] - Meeting for BarCamp Staff to discuss plans for San Francisco BarCamp.--><br />
** '''18:00 [[Gamebridge|Gamebridge Unityversity]]''' - Collab and learn to make video games with geeks, if it's your first night you will actually get to make a game!<br />
** '''18:00 [[BarCamp|Barcamp Staffing]]''' - Interested in helping out with BarCamp SF our planning meetings start officially at 18:00.<br />
** 18:00 Brewing Course - [[Tastebridge]]<br />
** '''19:00 [[SCoW]]''' - Sewing, Crafting, Or Whatever! Come make cool stuff with geeks.<br />
** '''19:30 [[Machine Learning]]''' - Teach computers to learn stuff using artificial intelligence and other techniques.<br />
* '''Thursday'''<br />
** Anytime [[House_Keeping#Trash_and_Recycling|Trash Night]] - Don't forget to take out the trash for Friday morning!<br />
** 18:30 every 2nd Thursday: [[Arduino!]] - free informal workshop/playshop for beginners and advanced users alike. ARDUINO IS ON VACATION AND WILL RESUME ON 1/13<br />
** 19:30 [[Games]] - Play games with geeks.<br />
** '''20:00 [[Five_Minutes_of_Fame | Five Minutes of Fame]]''' (3rd Thursdays)<br />
* '''Friday''' <br />
** 15:00 [[Linux System Administration Study Group]] - Study Linux admining in the Turing classroom. <br />
** 19:00 [[Science, Engineering & Design Huddle]] - Weekly group to discuss design approach, share techniques, and solve any problem you may be having with your project(s).<br />
** 20:00 [[Moving/2169 Mission/Buildout|2169 Buildout planning]] - Discussion & execution of how to renovate our new space.<br />
<!--** 18:00 [[RantMeet]] (1st Fridays) [http://www.rantmedia.ca Rant Media] is a global hacker/survival/indy media phyle that meets up around the world.--><br />
<br />
* '''Saturday'''<br />
<!--** 20:00 [[NSFW]] - Now Showing From the Web, last Saturday of the month. Share interesting videos you've found on the web for the past month or bring content you made.--><br />
** 16:00 [[Pwn Your Own]] - Pwn Your Own is your chance to learn about every day security threats to every day internet activities. Designed for hackers at all levels, (1st Saturday).<br />
* '''Sunday'''<br />
** 14:00 [http://baha.bitrot.info/ Bay Area Hacker's Association - security meeting] (2nd Sundays)<br />
** '''15:00 [[Go]]''' - Playing of the Go boardgame. On nice days we often take the boards to Dolores Park and play there.<br />
** 15:00 [[Locks!]] - Lock sport, sundays when there is demand. ( See [[locks!]] for more information. )<br />
<!--Happening? pls update ** 17:00 [[Rsync Users Group]] - A twelve step program for those who have poor *nix habits.--><br />
** 18:00 [[Spacebridge]] - Noisebridge's space program<br />
** 18:00 [[Code Bridge]] - Codebridge projects time get help write code or help others with their code<br />
<br />
</onlyinclude><br />
<br />
=== Proposed Future Events and Classes ===<br />
<br />
:'''(TBD)''': [[Probability]] - Weekly probability study group based on [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake<br />
:'''(TBD)''': [[German]] - Learn German, all levels. 7pm beginners, 8pm advanced. RSVP 24 hours in advance for the benefit of the instructor. Events ran May-November 2009 on Mondays. Currently on hiatus. Get on the mailing list.<br />
:'''(TBD)''': [[Mandarin Corner|Mandarin]] - Learn or practice Mandarin, all levels. Also currently on hiatus. Get on the mailing list.<br />
:'''(TBD)''': [[Movie Night!]] - [[User:ThOMG|Thom]] wants to build community through nerdy sci-fi! (+Bill+Ted+Excellence++)<br />
:'''(TBD)''': [[Introduction to the AVR Microcontroller]] - [[User:Mightyohm|Jeff]] and [[User:Maltman23|Mitch]] are planning an introductory class for people wanting to make cool projects with AVRs.<br />
:'''(TBD)''': [[Basic Chemistry Lab Techniques]]<br />
:'''(TBD)''': [[Cuddle Puddle for the Economy]] - Stress-hacking with informal massage exchange.<br />
:'''(TBD)''': [[Milk and Cookies]] - Come read your favorite selections out loud. With Milk and Cookies (and yeah, probably beer too).<br />
:'''(TBD)''': [[Processing Workshop 2]] - [[User:Scmurray|Scott]] is interested in teaching this, and is busy thinking about what, where, when, why, and how.<br />
:'''(TBD)''': [[Hack your Hardware]] -- We call BS on "no user-serviceable parts inside"<br />
:'''(TBD)''': [[Homebrew Instruction Class]] - The Wort (pt 1/3)<br />
:'''(TBD)''': [[Trip to Shooting Range]] - Field trip to a shooting range, to shoot guns. Express interest at [[Trip to Shooting Range]]<br />
:'''(TBD)''': [[Surface Mount Soldering Workshop]] - Learn how to solder cicuits with small surface mount parts. [[User:maltman23|Mitch Altman]] and Martin Bogomolni and others will show their tricks. [[User:maltman23|Mitch]] will bring hackable kits that uses surface mounts for you to solder.<br />
:'''(TBD)''' - [[Locksport and Lockpicking]]<br />
:'''(TBD)''' - [[Version control tutorial]]<br />
:'''(TBD)''' - [[Foreign language learning for rocket scientists]] - I'm near-native (fool people when I try) in (French and) Japanese, and a pro trans/terpreter and will share my shortcuts (skill-order, vocab, speed/articulation, translation≅grammar). No expertise on tonal languages yet... so if you know how to remember tones or how tone-sandhi interacts with speed and/or how nuances of speaker attitude are expressed in them (what we do with rythm/inflection/sentence-intonation and stress in Eng., and with particles and ??? in e.g. Cantonese) please chime in or call me (415-608-0564) so I can convey your wisdom. [also looking for a from-scratch Arabic partner]<br />
:'''(TBD)''': [[Getting started with Arduino]]<br />
:'''(TBD)''': [[Distributed Databases]]<br />
:'''(TBD)''': [[Scrum Club]] - I though I'd test the waters and see if anyone was interested in a noisebridge scrum club details are here http://scrumclub.org/scrum-clubs/ if inturested hit me up twitter: @theabcasian, facebook: http://www.facebook.com/theabcasian<br />
:'''(TBD)''': [[CNC Mill Workshop]] - Who wants to make stuff on the [[MaxNCMill]]?<br />
:'''(TBD)''': [[Math & Science Help]] - If you would like some math, science or engineering help, I'm down to lend a hand.<br />
:'''(TBD)''': [[Cyborg Group|Cyborg Group / Sensebridge]] - Work on projects like artificial senses. Someone needs to lead this!<br />
:'''(TBD)''': [[OpenEEG]] - Brain tech. Has historically met on Sundays, at the behest of interested parties.<br />
:'''(TBD)''': [[Programming_for_Poets | Programming for Poets]] - Gentle intro to programming using Processing<br />
<br />
= Past Events =<br />
===2010===<br />
* '''Sunday, August 22, 19:00 CLUB-MATE DROPOFF AND TASTING PARTY''' Nick Farr will be in town to drop off Club-Mate ordered by San Franciscans!<br />
* '''June 5th, 12:00-19:00 - [[NoiseBridgeRehab]]''' - Help make the space more usable and accessible! Noisebridge needs your help!<br />
* '''June 5th, 16:00-20:00 - [[Science For Juggalos]]''' - Science Fair in front of the Warfield Theater teaching magnetism to Juggalos<br />
* '''June 6th, 15:00 - [[AVC Meetup]]''' - Entrepreneurial bonding & matchmaking<br />
* '''June 9th, 21:00 - Your liver supports Noisebridge''' - Come to Elixir @ 16th & Guerrero anytime after 21:00 and drink, drink, drink! 50% of tips go to Noisebridge<br />
* '''February 27th, 20:00 - [[Hacker EPROM]]''' - Noisebridge's first prom! Nice tie and a (robot) date required. We will have a DJ and punch.<br />
* '''February 24th, 19:00, Wednesday - Joris Peels, of [http://www.shapeways.com Shapeways]''', and expert on 3D printing, will give a [[ShaperwaysPresentation | talk and demonstration]] at Noisebridge!.<br />
* '''February 23rd, 18:00 - Cleaning day''' - Come and help clean Noisebridge, because everyone loves a clean hack space.<br />
* '''February 12th, 21:00 - visit from Steve Jackson'''. Game designer [http://en.wikipedia.org/wiki/Steve_Jackson_%28US_game_designer%29 Steve Jackson], founder of Steve Jackson Games, will visit Noisebridge.<br />
* '''January 27th, 18:00-20:00 - [[beatrixjar event|Circuit Bending Workshop]]''' - [http://www.beatrixjar.com/ Beatrix*JAR] (contact [[User:Gpvillamil|Gian Pablo]] for more info)<br />
* '''January 27th, 20:00-22:00 - [[beatrixjar event|Circuit Bending Performance]]''' - [http://www.beatrixjar.com/ Beatrix*JAR] - "Celebrate a night of new sound that will change your idea of music forever!"<br />
* '''January 25th, 19:30 - [[Bag Porn]]''' - What's in your bag?<br />
* '''January 20th, 19:00-21:00 - [http://groups.google.com/group/bacat/about Bay Categories & Types]''' - Categories, monoids, monads, functors and more! Held in the Alonzo Church classroom.<br />
* '''January 20th, 19:00 - [[User Experience Book Club SF]]''' - Our book this month is "A Theory of Fun for Game Design" by Raph Koster - http://is.gd/6sEqw (meets in Turing)<br />
* '''January 21st, 20:00 - [[Five Minutes of Fame]]''' - Monthly set of lightning talks on diverse topics<br />
* '''January 22nd, 17:00 - [[CleaningParty| Cleaning Party]]''' - Come help clean up Noisebridge! Awsum fun!<br />
* ...January 14th,16th, and 17th 1:00- ??? Build Out day for kitchen/bathroom/laundry bring yourself and a good attitude, learn a few things as well<br />
* '''January 15th, 18:00 - [[CNC_Mill_Workshop]]''' - Learn to use the CNC mill for 2D engraving and circuit board routing<br />
* Thursdays 17:00 [[ASL Group|American Sign Language]] - Learn how to talk without using your voice (or just come chat in ASL). <small>[http://whenisgood.net/noisebridge/asl/generic click to reschedule]</small><br />
<br />
===2009===<br />
* '''November 18th, 19:30''' - [[Dorkbot_2009_11_18|Dorkbot]]<br />
* '''November 19th, 18:00''' - [[Mesh meetup]]<br />
* '''November 19th, 20:00''' - [[Five Minutes of Fame]]<br />
* '''November 20th, 18:00''' - Loud Objects [http://www.flickr.com/photos/createdigitalmedia/3428249036/ Noise Toy workshop].<br />
* '''November 20th, 20:00''' - Performance by [http://www.loudobjects.com/ Loud Objects], (featuring Tristan Perich and Lesley Flanigan) and [http://www.myspace.com/jibkidder Jib Kidder].<br />
:'''2009-11-05''' - [http://www.server-sky.com/ Server Sky presentation: Internet and Computation in Orbit] by Keith Lofstrom<br />
:'''2009-11-05''' - [[Mesh meetup]]<br />
:'''2009-11-02''' - [[French]] book club meeting to discuss [http://www.amazon.com/exec/obidos/tg/detail/-/2842612892/ref=ord_cart_shr?_encoding=UTF8&m=ATVPDKIKX0DER&v=glance Une Si Longue Lettre]<br />
: ''' October 1st, 18:00''' - [[Wireless_Mesh_Network_Meetup | Mesh wireless meetup]]<br />
: ''' October 1st, 19:00''' - [http://groups.google.com/group/bacat Bay Area Categories and Types]<br />
: '''2009-10-03''' [[Year 1 Open Hacker House]]<br />
:'''Friday''': [[CrazyCryptoNight]] - Discussion of cryptography for beginners through experts. 6-???<br />
:'''Sunday''' : [[OpenEEG | OpenEEG Hacking]] Sundays, at 3-5pm.<br />
:'''Tuesday''': [[Haskell/Haschool]] - Learn Haskell with Jason Dusek. 6PM - 7:30PM, from May until we're all experts.<br />
:'''Wednesday''': [[Adobe_Lightroom|Adobe Lightroom]] - Become a more organized photographer. Weekly class (mostly held off site).<br />
:'''Thursday''': [[Professional VFX Compositing With Adobe After Effects]] - Taught by [[User:SFSlim|Aaron Muszalski]]. 7:30PM - 10PM, most Thursdays in May & June & ? (click through dammit)<br />
:'''2009-09-17''': [[Five Minutes of Fame]] 3D Edition<br />
:'''2009-09-17''': [[Wireless Mesh Network Meetup | Mesh wireless meetup]]<br />
:'''2009-08-20''': [[Five Minutes of Fame]] One Dee Edition<br />
:'''2009-07-16''': [[Five Minutes of Fame]] Zero Dee<br />
:'''2009-07-02 - 2009-07-05''': [http://toorcamp.org Toorcamp]<br />
:'''2009-07-01''': Noisedroid meeting to discuss location logging on Android platform (and other stuff too, I'm sure)<br />
:'''2009-06-30''': [[Powerbocking Class|Powerbocking class]]<br />
:'''2009-06-30''': "Suing Telemarketers for Fun and Profit" (Toorcamp talk preview)<br />
:'''2009-06-28''': "Meditation for Hackers" (Toorcamp workshop preview)<br />
:'''2009-06-18''': [[Five Minutes of Fame]]<br />
:'''2009-06-15''': [[Eagle Workshop]] Session two of the Eagle CAD workshop.<br />
:'''2009-06-13''': [[RoboGames 2009]] Noisebridge had a booth staffed by vounteers, great fun!<br />
:'''2009-05-21''': [[Five Minutes of Fame]]<br />
:'''2009-04-27''': [[EagleCAD workshop]] -- learn to use this CAD tool for printed circuit board design<br />
:'''2009-04-16''': [[Five Minutes of Fame]] April showers & flowers edition<br />
:'''2009-04-11''': [[RFID Hacking]] weekend workshop (this event moved from the original March date)<br />
:'''2009-04-05''': [[First aid and CPR class]] Learning how to not only not die, but also reduce scarring!<br />
:'''2009-04-03''': [[Sudo pop]] 2PM and on. Making the first batch of a Noisebridge label yerba mate-niated rootbrew, gratis and DIY<br />
:'''2009-03-26''': [[OpenEEG | OpenEEG Hacking]] first meet up for this new group: 8 pm<br />
:'''2009-03-19''': [[Five Minutes of Fame]]<br />
:'''2009-03-12''': [[OpenBTS and GSM]] talk by David Burgess<br />
:'''2009-02-14''': [[Open Heart Workshop]] Valentine's Day blinkyheart soldering party! <br />
:'''2009-02-13''': [[Time-t_Party|<tt>time_t</tt> Party]] to celebrate 1,234,567,890 since the Unix epoch.<br />
:'''2009-02-09''': [[Spanish learning at 8:30]]<br />
:'''2009-02-05''': [[PGP Key Workshop]]<br />
:'''2009-01-31''': [[Locksport and Lockpicking]]<br />
<br />
===2008===<br />
:'''2008-12-27''': [[25C3]] Chaos Computer Congress in Berlin<br />
:'''2008-12-20 & 21''': [[Creme Brulee]] Workshop on creating a french dessert, with bonus propane torch.<br />
:'''2008-12-17 20:00''': [[Machine Learning]] Birds-of-a-feather<br />
:'''2008-11-24''': [[Circuit Hacking Monday]] circuit design workshop<br />
:'''2008-11-21, 7pm''':[[Milk and Cookies]] -- [[User:Dmolnar|David Molnar]] hosts Milk and Cookies at 83C. Bring a short 5-7minute thing to read to others. Bring a potluck cookie/snack/drink if you like. David will bring milk and cookies.<br />
:'''2008-11-17, 7:30pm''': [[Basic Bicycle Maintain]] - [[User:rubin110|Rubin]] and [[User:rigel|rigel]] hate it when we see a bike that isn't maintained. Screechy chains and clacking derailleur can go to hell. Basic bike tune up, sharing the smarts on simple things you can do at home to make your ride suck a whole lot less.<br />
:'''2008-11-16, 5:00pm''': [[RepRap Soldering Party]] - help assemble RepRap! RSVPs required on wiki! [[User:Adi|adi]]<br />
:'''2008-11-16, 3:00pm''': [[Oscilloscopes]] - Learn how to use this versatile tool to test electronic circuits. Maximum 6 slots, please sign up ahead of time! [[User:dstaff|dstaff]]<br />
:'''2008-10-31''': [[Halloween Open House]] - NoiseBridge's own [[PPPC]] threw an awesome open house/halloween gala. Post pictures if you got 'em!<br />
:'''2008-10-25''': [[Soldering Workshop]] and Pumpkin Hackin' - Learn to solder for total newbies (or learn to solder better!), including surface mount. Additionally, carve your halloween pumpkins and enjoy some experimental pumpkin pie and/or soup.<br />
:'''2008-10-07''': (tuesday before meeting) - Etch a circuit board. I'll be trying a photo resist etching and a basic printed mask etching. This is step 1/3 for a project called "annoying USB thingie" which will execute pre-defined keystrokes by sneaking a tiny USB dongle onto a victim^h^h^h^h^h buddy's computer.<br />
:'''2008-09-13''': [[Processing Workshop]] — Learn this very easy-to-use programming language! - [[Processing Workshop Report]]<br />
:'''2008-02-16''': [[Brain Machine Workshop|Brain Machine Making Workshop]]: Our first hardware sprint!</div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14947Probability2010-12-10T01:26:01Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Continuous Random Variables part 2 - 2nd half of Bertsekas and Tsitsiklis Chapter 3<br />
* When: Tuesday (12/14) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - the computer room (turing classroom)<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 12/07/2010 - continuous random variables - part 1 - chapter 3 of Bertsekas & Tsitsiklis <br />
* 11/30/2010 - discrete random variables - chapter 2 of Bertsekas & Tsitsiklis ([https://www.noisebridge.net/wiki/File:Discrete_Random_Variables2.ppt slides]).<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
*John<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14934Probability2010-12-09T12:08:56Z<p>Weisburd: /* Next Meeting */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Continuous Random Variables part 2 - 2nd half of Bertsekas and Tsitsiklis Chapter 3<br />
* When: Tuesday (12/14) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - the computer room (turing classroom)<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/30/2010 - discrete random variables - chapter 2 of Bertsekas & Tsitsiklis ([https://www.noisebridge.net/wiki/File:Discrete_Random_Variables2.ppt slides]).<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
*John<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14806Probability2010-12-01T08:53:27Z<p>Weisburd: /* Teaching Volunteers */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Bertsekas and Tsitsiklis Chapter 3 - Continuous Random Variables<br />
* When: Tuesday (12/7) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - the computer room (turing classroom)<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/30/2010 - discrete random variables - chapter 2 of Bertsekas & Tsitsiklis ([https://www.noisebridge.net/wiki/File:Discrete_Random_Variables2.ppt slides]).<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
*John<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14805Probability2010-12-01T08:01:24Z<p>Weisburd: /* Next Meeting */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Bertsekas and Tsitsiklis Chapter 3 - Continuous Random Variables<br />
* When: Tuesday (12/7) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - the computer room (turing classroom)<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/30/2010 - discrete random variables - chapter 2 of Bertsekas & Tsitsiklis ([https://www.noisebridge.net/wiki/File:Discrete_Random_Variables2.ppt slides]).<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=File:Discrete_Random_Variables2.ppt&diff=14804File:Discrete Random Variables2.ppt2010-12-01T07:59:38Z<p>Weisburd: </p>
<hr />
<div></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14803Probability2010-12-01T07:59:14Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/30/2010 - discrete random variables - chapter 2 of Bertsekas & Tsitsiklis ([https://www.noisebridge.net/wiki/File:Discrete_Random_Variables2.ppt slides]).<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14802Probability2010-12-01T07:58:53Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/30/2010 - discrete random variables - chapter 2 of Bertsekas & Tsitsiklis ([https://www.noisebridge.net/wiki/File:Discrete random variables 2.ppt slides]).<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14660Probability2010-11-24T06:53:40Z<p>Weisburd: /* General */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics, and to the problems/solutions posted under [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14659Probability2010-11-24T06:51:49Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics and to the problems/solutions available online for [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course. No reason to use this anymore - just here so people know there are 2 versions of this course on OCW.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14658Probability2010-11-24T06:50:20Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics and to the problems/solutions available online for [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14657Probability2010-11-24T06:49:59Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics and to the problems/solutions available online for [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW - 6.041 / 4.64 Probabilistic Systems Analysis and Applied Probability - Spring 2006] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability - Spring 2005] - this is an older version of the same course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14656Probability2010-11-24T06:45:31Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics and to the problems/solutions available online for [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book we are now using (see mailing list for pdf).<br />
* [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041] - has problems, solutions, lecture notes, etc. covering the material in the above book.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book we're using is from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14655Probability2010-11-24T06:43:38Z<p>Weisburd: /* General */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the stuff covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We were originally using that book, but decided to switch to the Bertsekas and Tsitsiklis book (see [https://www.noisebridge.net/wiki/Probability#Resources resources]) which covers the same topics and to the problems/solutions available online for [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Approximate meeting format:<br />
* 30-45 min - a volunteer presents the material in the chapter<br />
* 30-45 min - people discuss, solve problems, go over solutions<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=14654Probability2010-11-24T06:41:00Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Quick review of 1st half of ch 2 (discrete random variables). 1 example problem. Finish presentation of chapter 2 (continuous random variables). Another example problem. (will post the example problems over the weekend so people can try them).<br />
* When: Tuesday (11/30) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the material covered in the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. We've now (11/23/2010) decided to switch to the Bertsekas and Tsitsiklis book (see [#resources resources]) and to the problems/solutions available on [http://ocw.num.edu.mn/OcwWeb/Electrical-Engineering-and-Computer-Science/6-041Spring-2006/Assignments/index.htm MIT OCW Course 6.041]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
* 11/23/2010 - did some problems covering chapter 1 ([https://www.noisebridge.net/wiki/File:Chpt1_problems_slides.ppt slides])<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=File:Chpt1_problems_slides.ppt&diff=14653File:Chpt1 problems slides.ppt2010-11-24T06:30:03Z<p>Weisburd: uploaded a new version of "File:Chpt1 problems slides.ppt":&#32;Fixed sample space diagram in problem 2</p>
<hr />
<div></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=File:Chpt1_problems_slides.ppt&diff=14651File:Chpt1 problems slides.ppt2010-11-24T06:10:42Z<p>Weisburd: </p>
<hr />
<div></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13983Probability2010-11-17T09:55:22Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/16/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13981Probability2010-11-17T09:36:53Z<p>Weisburd: /* List of Problems */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs) - anyone who has this link can edit/add problems.<br><br />
These are problems that 1 or more people thought were interesting enough to try solving.<br><br />
<br />
<br><br />
Each problem should include:<br />
* the problem (or pointer to the problem)<br />
* names of people who've worked through the problem<br />
* (optional) what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13980Probability2010-11-17T09:34:56Z<p>Weisburd: /* List of Problems */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems] (on Google Docs)<br><br />
These are book problems or other problems that 1 or more people felt were interesting enough to try solving.<br><br />
Anyone who has this link can edit/add their own problems.<br><br />
<br><br />
Each problem should include:<br />
* the problem<br />
* what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
* names of people who have worked through the problem<br />
<br />
<br><br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13978Probability2010-11-17T08:49:30Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
<br><br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems - (Google Docs Powerpoint)] <br><br />
These are book problems or other problems that 1 or more people felt were interesting enough to try solving.<br><br />
Anyone who has this link can edit/add their own problems.<br><br />
<br><br />
Each problem should include:<br />
* the problem<br />
* what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
* names of people who have worked through the problem<br />
<br />
<br><br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13977Probability2010-11-17T08:49:08Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
<br><br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems - (Google Docs Powerpoint)] <br><br />
These are book problems or other problems that 1 or more people felt were interesting enough to try solving.<br><br />
Anyone who has this link can edit/add their own problems.<br><br />
<br><br />
Each problem should include:<br />
* the problem<br />
* what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
* names of people who have worked through the problem<br />
<br />
<br><br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13976Probability2010-11-17T08:48:32Z<p>Weisburd: /* List of Problems */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== List of Problems ===<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems - (Google Docs Powerpoint)] <br><br />
These are book problems or other problems that 1 or more people felt were interesting enough to try solving.<br><br />
Anyone who has this link can edit/add their own problems.<br><br />
<br><br />
Each problem should include:<br />
* the problem<br />
* what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
* names of people who have worked through the problem<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13975Probability2010-11-17T08:47:56Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== List of Problems ===<br />
These are book problems or other problems that 1 or more people felt were interesting enough to try solving.<br />
[https://docs.google.com/present/edit?id=0AYFTC61lbg2jZGNudzVrbW5fMjUzZjQ2ZnRrZ3Y&hl=en&authkey=CPm5hOAC List of Problems - (Google Docs Powerpoint)] - Anyone who has this link can edit/add their own problems.<br />
<br />
Each problem should include:<br />
- the problem<br />
- what concepts are required for the solution (eg. conditional independence, continuous random variables, etc.)<br />
- names of people who have worked through the problem<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13974Probability2010-11-17T08:31:26Z<p>Weisburd: /* General */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory]. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13973Probability2010-11-17T08:30:13Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2. Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13972Probability2010-11-17T08:30:01Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2 Recommended problems 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1. Recommended problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13971Probability2010-11-17T08:28:47Z<p>Weisburd: /* Next Meeting */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Review and work through 2 or 3 example problems covering concepts from chapters 1,2. Then finish presentation of chapter 2 (continuous random variables). After this people can solve problems together or go over answers to any of the recommended problems in chapters 1, 2.<br />
* When: Tuesday (11/23) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=File:Chpt2_slides.ppt&diff=13970File:Chpt2 slides.ppt2010-11-17T08:19:55Z<p>Weisburd: </p>
<hr />
<div></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13969Probability2010-11-17T08:18:58Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Ben will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/09/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13968Probability2010-11-17T08:18:37Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Ben will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/17/2010 - chapter 2 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt2_slides.ppt slides])<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
*Sara N<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13917Probability2010-11-15T18:42:54Z<p>Weisburd: /* Next Meeting */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Ben will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13916Probability2010-11-15T18:42:23Z<p>Weisburd: /* Next Meeting */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Ben W. will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13852Probability2010-11-13T01:23:16Z<p>Weisburd: /* General */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format:<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13851Probability2010-11-13T01:22:34Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13850Probability2010-11-13T01:22:00Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13849Probability2010-11-13T01:21:26Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors - it appears to be identical in terms of the layout and the topics covered.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13848Probability2010-11-13T01:20:25Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors of that course.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13846Probability2010-11-12T23:20:19Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are taken from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967 and used for several decades to teach the above course. From the preface: "This is a first textbook in applied probability theory, assuming a background of one year of calculus." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors of that course.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13845Probability2010-11-12T23:18:55Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are taken from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in 1967, this book was used to teach probability at MIT for several decades. From the preface: "This is a first textbook in applied probability theory, assuming a<br />
background of one year of calculus. The material represents a one semester<br />
subject taught at M.I.T. to about 250 students per year,<br />
most of whom are in the Schools of Engineering or Management." <br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors of that course.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13844Probability2010-11-12T23:13:51Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2005/related-resources/ MIT OCW - 6.041 / 6.431 Probabilistic Systems Analysis and Applied Probability] - the text book(s) we're using are taken from this course.<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in the 60s, this book was used to teach probability at MIT for several decades.<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors of that course.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13843Probability2010-11-12T23:11:00Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf]) - written in the 60s, this book was used to teach probability at MIT for several decades.<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability] by Bertsekas and Tsitsiklis - this is the book written and used by the current professors of that course.<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13842Probability2010-11-12T23:08:54Z<p>Weisburd: /* Resources */</p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf])<br />
* [http://www.athenasc.com/probbook.html Introduction to Probability by Bertsekas and Tsitsiklis]<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13841Probability2010-11-12T22:56:35Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
<b>http://groups.google.com/group/noisebridge-probability</b><br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf])<br />
* Introduction to Probability by Bertsekas and Tsitsiklis ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis.pdf pdf]) ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis_-_solutions.pdf solutions])<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13840Probability2010-11-12T22:56:13Z<p>Weisburd: </p>
<hr />
<div>=== Mailing List ===<br />
<br />
*[http://groups.google.com/group/noisebridge-probability]*<br />
<br />
=== Next Meeting ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf])<br />
* Introduction to Probability by Bertsekas and Tsitsiklis ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis.pdf pdf]) ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis_-_solutions.pdf solutions])<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13795Probability2010-11-10T11:26:57Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Next Meetings ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 &nbsp; ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf])<br />
* Introduction to Probability by Bertsekas and Tsitsiklis ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis.pdf pdf]) ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis_-_solutions.pdf solutions])<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13794Probability2010-11-10T11:26:35Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Next Meetings ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf])<br />
* Introduction to Probability by Bertsekas and Tsitsiklis ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis.pdf pdf]) ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis_-_solutions.pdf solutions])<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburdhttps://replica.wiki.extremist.software/index.php?title=Probability&diff=13793Probability2010-11-10T11:26:14Z<p>Weisburd: /* Past Meetings */</p>
<hr />
<div>=== Next Meetings ===<br />
<br />
* Somebody will present chapter 2. Recommended problems: 2.04, 2.07, 2.11, 2.17, 2.26, 2.27, 2.28, 2.30<br />
* When: Tuesday (11/16) 7:30 to 8:45pm <br />
* Where: Noisebridge (2169 Mission St.) - back corner classroom<br />
<br />
=== Past Meetings ===<br />
<br />
* 11/9/2010 - chapter 1 and problems 1.03, 1.08, 1.09, 1.12, 1.13, 1.21, 1.24, 1.30 ([https://www.noisebridge.net/wiki/File:Chpt1_slides.ppt slides])<br />
<br />
=== General ===<br />
<br />
A probability study group was proposed on the noisebridge-discuss list and cc'ed to the [[Machine Learning]] mailing list.<br />
<br />
The goal is to go through the 7 chapters of [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] at a pace of 1 chapter per week. <br />
<br />
Proposed meeting format (to be discussed at 1st meeting):<br />
* 30 min - a volunteer presents the material in the chapter (this will be for people who didn't have time to read the chapter at home, and for those who want to teach)<br />
* 30-45 min - discussion and problem solving (those who solved the problems at home can compare answers, those who didn't can work on the problems together)<br />
<br />
=== Resources ===<br />
<br />
* [http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-041-probabilistic-systems-analysis-and-applied-probability-spring-2006/related-resources/ Fundamentals of Applied Probability Theory] by Al Drake ([https://www.noisebridge.net/wiki/File:Fundamentals_of_Applied_Probability_by_Drake.pdf pdf])<br />
* Introduction to Probability by Bertsekas and Tsitsiklis ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis.pdf pdf]) ([https://www.noisebridge.net/wiki/File:Introduction_To_Probability_by_Bersekas_and_Tsitsiklis_-_solutions.pdf solutions])<br />
* [http://www.amazon.com/Fifty-Challenging-Problems-Probability-Solutions/dp/0486653552/ref=sr_1_fkmr0_1?ie=UTF8&qid=1288675926&sr=8-1-fkmr0 Fifty Challenging Problems] by Frederick Mosteller (~ 15 of the problems are viewable in amazon's preview). Monte-carlo simulations of these: [http://blog.appliedplatonics.com/tag/fifty-problems/ Josh Myer's blog]<br />
<br />
=== Statistical Computing ===<br />
<br />
[http://www.r-project.org/ R]<br />
<br />
=== Teaching Volunteers ===<br />
*Kai<br />
*Mike S<br />
*Ben W<br />
<br />
<br />
=== Misc ===<br />
<br />
<center><br />
<br />
<b>Conditional Risk</b> (from [http://xkcd.com/795/ http://xkcd.com/795/ ])<br />
<br />
<br />
[[File:conditional_risk.png]]<br />
</center></div>Weisburd