Noisebridge - User contributions [en]

File:Al Sweigart.jpg

2014-02-06T05:44:44Z

Rubin: Rubin uploaded a new version of "File:Al Sweigart.jpg"

A picture of Al Sweigart.

User:JaxonK80rilm

2014-02-06T05:43:40Z

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User:BrandenEggers

2014-02-06T05:43:25Z

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User:LatashaSeaman

2014-02-06T05:43:20Z

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User:JaninaFlanagan

2014-02-06T05:43:16Z

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User:Staci7925bbgm

2014-02-06T05:43:13Z

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User:FrankieStauffer

2014-02-06T05:43:07Z

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User:LatanyaHardy

2014-02-06T05:43:05Z

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User:LouisaDXZt

2014-02-06T05:43:03Z

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User:CasimiraApu

2014-02-06T05:42:39Z

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User:TorstenGoldschm

2014-02-06T05:42:34Z

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User:JacintoIIPH

2014-02-06T05:42:23Z

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User:StaceyFLGbb

2014-02-06T05:42:16Z

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User:ShennaWhittell

2014-02-06T05:41:27Z

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User:HelenaMackerras

2014-02-06T05:41:06Z

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User:TORabuser4

2014-02-06T05:40:49Z

Rubin:

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User:SetientIsCEOofNoiseBridge

2014-02-06T05:40:20Z

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Machine Learning

2014-02-06T05:39:46Z

Rubin:

=== Join the Mailing List ===

https://www.noisebridge.net/mailman/listinfo/ml

=== Next Meeting===

*When: Thursday, January 30, 2013 @ 7:00pm
*Where: 2169 Mission St. (Church classroom)
*Topic: k-Nearest Neighbors and k-Means Clustering
*Details:
*Who: Mike S

=== Take the Noisebridge ML Survey ===
[http://www.surveymonkey.com/s/W2T9ZB6 Take a survey] and vote for what you want to learn!

=== Talks and Workshops ===
We've given lots of workshops and talks over the past year or so, here's a few. Many of the workshops we've given previously are recurring and will be given again, especially upon request!
*[[NBML/Workshops/Intro to Machine Learning|Intro to Machine Learning]]
*[[NBML/Workshops/Brief Tour of Statistics|A Brief Tour of Statistics]]
*[[NBML/Workshops/Generalized Linear Models|Generalized Linear Models]]
*[[NBML/Workshops/Neural Nets|Neural Nets Workshop]]
*[[NBML/Workshops/Support Vector Machines|Support Vector Machines]]
*[[NBML/Workshops/Random Forests|Random Forests]]
*[[NBML/Workshops/Independent Components Analysis|Independent Components Analysis]]
*[[NBML/Workshops/Deep Nets|Deep Nets]]

=== Code and SourceForge Site ===
*We have a [http://sourceforge.net/projects/ml-noisebridge Sourceforge Project]
*We have a git repository on the project page, accessible as:
git clone git://ml-noisebridge.git.sourceforge.net/gitroot/ml-noisebridge/ml-noisebridge
*Send an email to the list if you want to become an administrator on the site to get write access to the git repo!

=== Future Talks and Topics, Ideas ===
*Random Forests in R
*Restricted Boltzmann Machines (Mike S, some day)
*Analyzing brain cells (Mike S)
*Deep Nets w/ Stacked Autoencoders (Mike S, some day)
*Generalized Linear Models (Mike S, Erin L? some day)
*Graphical Models
*Working with the Kinect
*Computer Vision with OpenCV

=== Projects ===
*[[Small Group Subproblems]]
*[[Machine Learning/Fundraising | Fundraising]]
*[[NBML_Course|Noisebridge Machine Learning Course]]
*[[Machine Learning/Kaggle Social Network Contest | Kaggle Social Network Contest]]
*[[KDD Competition 2010]]
*[[Machine Learning/Kaggle HIV | HIV]]

=== [[Machine_Learning/Datasets|Datasets and Websites]] ===
*[http://archive.ics.uci.edu/ml/ UCI Machine Learning Repository]
*[[DataSF.org]]
*[http://infochimps.com/ Infochimps]
*[http://www.face-rec.org/databases/ Face Recognition Databases]
*[http://robjhyndman.com/TSDL/ Time Series Data Library]
*[http://getthedata.org/ Data Q&A Forum]
*[http://metaoptimize.com/qa/ Metaoptimize]
*[http://www.quora.com/Machine-Learning Quora ML Page]
*[http://www.metoffice.gov.uk/research/climate/climate-monitoring/land-and-atmosphere/surface-station-records A ton of Weather Data]
*[http://mlcomp.org/ MLcomp]
**Upload your algorithm and objectively compare it's performance to other algorithms
*[http://www.ntis.gov/products/ssa-dmf.aspx Social Security Death Master File!]
*[http://www.sipri.org/databases SIPRI Social Databases]
**Wealth of information on international arms transfers and peace missions.
*[http://aws.amazon.com/publicdatasets/ Amazon AWS Public Datasets]
*[http://www.prio.no/Data/Armed-Conflict/ UCDP/PRIO Armed Conflict Datasets]
*[https://opendata.socrata.com/browse Socrata Government Datasets]

=== Software Tools ===

==== Generic ML Libraries ====
*[http://www.cs.waikato.ac.nz/ml/weka/ Weka]
**a collection of data mining tools and machine learning algorithms.
*[http://scikit-learn.sourceforge.net/ scikits.learn]
**Machine learning Python package
*[http://pypi.python.org/pypi/scikits.statsmodels scikits.statsmodels]
**Statistical models to go with scipy
*[http://pybrain.org PyBrain]
**Does feedforward, recurrent, SOM, deep belief nets.
*[http://www.csie.ntu.edu.tw/~cjlin/libsvm/ LIBSVM]
**c-based SVM package
*[http://pyml.sourceforge.net PyML]
*[http://mdp-toolkit.sourceforge.net/ MDP]
**Modular framework, has lots of stuff!
*[[Machine Learning/VirtualBox|VirtualBox]] Virtual Box Image with Pre-installed Libraries listed here
*[http://deeplearning.net/software/theano/ Theano: Symbolic Expressions and Transparent GPU Integration]
*[http://sympy.org sympy] Does symbolic math
*[http://waffles.sourceforge.net/ Waffles]
**Open source C++ set of machine learning command line tools.
*[http://rapid-i.com/content/view/181/196/ RapidMiner]
*[http://www.mrpt.org/ Mobile Robotic Programming Toolkit]
*[http://nipy.sourceforge.net/nitime/ nitime]
**NeuroImaging in Python, has some good time series analysis stuff and multi-variate response fitting.
*[http://pandas.pydata.org/ Pandas]
**Data analysis workflow in python
*[http://www.pytables.org/moin PyTables]
**Adds querying capabilities to HDF5 files
*[http://statsmodels.sourceforge.net/ statsmodels]
**Regression, time series analysis, statistics stuff for python
*[https://github.com/JohnLangford/vowpal_wabbit/wiki Vowpal Wabbit]
**"Intrinsically Fast" implementation of gradient descent for large datasets
*[http://www.shogun-toolbox.org/ Shogun]
**Fast implementations of SVMs
*[http://www.mlpack.org/ MLPACK]
**High performance scalable ML Library
*[http://www.torch.ch/ Torch]
**MATLAB-like environment for state-of-the art ML libraries written in LUA

==== Online ML ====
*[http://moa.cs.waikato.ac.nz/ MOA (Massive Online Analysis)]
**Offshoot of weka, has all online-algorithms
*[http://jubat.us/en/ Jubatus]
**Distributed Online ML
*[http://dogma.sourceforge.net/ DOGMA]
**MATLAB-based online learning stuff
*[http://code.google.com/p/libol/ libol]
*[http://code.google.com/p/oll/ oll]
*[http://code.google.com/p/scw-learning/ scw-learning]

==== Graphical Models ====
*[http://www.mrc-bsu.cam.ac.uk/bugs/ BUGS]
**MCMC for Bayesian Models
*[http://mcmc-jags.sourceforge.net/ JAGS]
**Hierarchical Bayesian Models
*[http://mc-stan.org/ Stan]
**A graphical model compiler
*[https://github.com/kutschkem/Jayes Jayes]
**Bayesian networks in Java
*[http://tops.sourceforge.net/ ToPS]
**Probabilistic models of sequences

==== Text Stuff ====
*[http://www.crummy.com/software/BeautifulSoup/ Beautiful Soup]
**Screen-scraping tools
*[http://www.mlsec.org/sally/ SALLY]
**Tool for embedding strings into vector spaces
*[http://radimrehurek.com/gensim/ Gensim]
**Topic modeling

==== Collaborative Filtering ====
*[http://prea.gatech.edu/ PREA]
**Personalized Recommendation Algorithms Toolkit
*[http://svdfeature.apexlab.org/wiki/Main_Page SVDFeature]
**Collaborative Filtering and Ranking Toolkit

==== Computer Vision ====
*[http://opencv.willowgarage.com/documentation/index.html OpenCV]
**Computer Vision Library
**Has ML component (SVM, trees, etc)
**Online tutorials [http://www.pages.drexel.edu/~nk752/tutorials.html here]
*[http://drwn.anu.edu.au/ DARWIN]
**Generic C++ ML and Computer Vision Library
*[http://sourceforge.net/projects/petavision/ PetaVision]
**Developing a real-time, full-scale model of the primate visual cortex.

==== Audio Processing ====
*[http://tlecomte.github.com/friture/ Friture]
**Real-time spectrogram generation
*[http://code.google.com/p/pyo/ pyo]
**Real-time audio signal processing
*[https://github.com/jsawruk/pymir PYMir]
**A library for reading mp3's into python, and doing analysis
*[http://www.fon.hum.uva.nl/praat/ PRAAT]
**Speech analysis toolkit
*[http://ofer.sci.ccny.cuny.edu/sound_analysis_pro Sound Analysis Pro]
**Tool for analyzing animal sounds
*[http://luscinia.sourceforge.net/ Luscinia]
**Software for archiving, measuring, and analyzing bioacoustic data

*[http://wiki.python.org/moin/PythonInMusic List of Sound Tools for Python]

==== Data Visualization ====
*[http://www.ailab.si/orange/ Orange]
**Strong data visualization component
*[http://gephi.org/ Gephi]
**Graph Visualization
*[http://had.co.nz/ggplot2/ ggplot]
**Nice plotting package for R
*[http://code.enthought.com/projects/mayavi/ MayaVi2]
**3D Scientific Data Visualization
*[http://cytoscape.github.io/cytoscape.js/ Cytoscape]
**A JavaScript graph library for analysis and visualisation
*[https://plot.ly/ plot.ly]
**Web-based plotting

==== Cluster Computing ====
*[http://lucene.apache.org/mahout/ Mahout]
**Hadoop cluster based ML package.
*[http://web.mit.edu/star/cluster/ STAR: Cluster]
**Easily build your own Python computing cluster on Amazon EC2

==== Database Stuff ====
*[http://madlib.net/ MADlib]
**Machine learning algorithms for in-database data
*[http://www.joyent.com/products/manta Manta]
**Distributed object storage

==== Neural Simulation ====
*[http://nengo.ca/ Nengo]

==== Other ====
*[http://jmlr.csail.mit.edu/mloss/ Journal of Machine Learning Software List]

=== Presentations and other Materials ===
* [[Awesome Machine Learning Applications]] -- A list of cool applications of ML
* [[Hands-on Machine Learning]], a presentation [[User:jbm|jbm]] gave on 2009-01-07.
* http://www.youtube.com/user/StanfordUniversity#g/c/A89DCFA6ADACE599 Stanford Machine Learning online course videos]
* [[Media:Brief_statistics_slides.pdf]], a presentation given on statistics for the machine learning group
* [http://www.linkedin.com/groupAnswers?viewQuestionAndAnswers=&discussionID=20096092&gid=77616&trk=EML_anet_qa_ttle-0Nt79xs2RVr6JBpnsJt7dBpSBA LinkedIn] discussion on good resources for data mining and predictive analytics
* [http://www.face-rec.org/algorithms/ Face Recognition Algorithms]
* [http://www.ics.uci.edu/~welling/classnotes/classnotes.html Max Welling's ML classnotes]

=== Topics to Learn and Teach ===
[[NBML Course]] - Noisebridge Machine Learning Curriculum (work-in-progress)

[[CS229]] - The Stanford Machine learning Course @ noisebridge

*Supervised Learning
**Linear Regression
**Linear Discriminants
**Neural Nets/Radial Basis Functions
**Support Vector Machines
**Classifier Combination [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part6.pdf]
**A basic decision tree builder, recursive and using entropy metrics

*Unsupervised Learning
**[[Machine_Learning/HMM|Hidden Markov Models]]
**Clustering: PCA, k-Means, Expectation-Maximization
**Graphical Modeling
**Generative Models: gaussian distribution, multinomial distributions, HMMs, Naive Bayes
**[[Machine_Learning/Deep_Belief_Networks|Deep Belief Networks & Restricted Boltzmann Machines]]

*Reinforcement Learning
**Temporal Difference Learning

*Math, Probability & Statistics
**Metric spaces and what they mean
**Fundamentals of probabilities
**Decision Theory (Bayesian)
**Maximum Likelihood
**Bias/Variance Tradeoff, VC Dimension
**Bagging, Bootstrap, Jacknife [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part3.pdf]
**Information Theory: Entropy, Mutual Information, Gaussian Channels
**Estimation of Misclassification [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part5.pdf]
**No-Free Lunch Theorem [http://www.cedar.buffalo.edu/~srihari/CSE555/Chap9.Part1.pdf]

*Machine Learning SDK's
** [http://opencv.willowgarage.com/documentation/index.html OpenCV] ML component (SVM, trees, etc)
**[http://lucene.apache.org/mahout/ Mahout] a Hadoop cluster based ML package.
**[http://www.cs.waikato.ac.nz/ml/weka/ Weka] a collection of data mining tools and machine learning algorithms.

*Applications
** Collective Intelligence & Recommendation Engines

=== [[Machine Learning/Meeting Notes|Meeting Notes]]===

[[Category:Events]]
[[Category:Projects]]

[[File:ShadeS.jpg|1000px]]

User:Pidgeon

2014-02-06T05:39:04Z

Rubin:

My name is pidgeon.

[[Category:Applicant]]

TLDR: Life-hacking, Music-hacking, Knowledge-hacking, Food-hacking, house-hacking

i am interested in learning practical knowledge and techniques relating to technology, cyernetics, 'actually-existing-structures'.

i am interested in contemporary philosophy and political theory, and how this relates to contemporary technology/theory.

i am moving day by day, towards being able to attend and teach classes.

also, in the future, i would like to learn how to assemble devices for sound amplification and music/noise-making.

in addition, i am interested in fermenting foods and growing algae/general aqua/hydroponics.

i am a squatter. this relates to my projectualality/presence @NB

I am currently renting locker #14. I put $10 in the NB donation box today.
--[[User:Pidgeon|Pidgeon]] ([[User talk:Pidgeon|talk]]) 07:01, 29 January 2014 (UTC)

Associate Sponsors

# [[User:Bfb|Bfb]] ([[User talk:Bfb|talk]]) 04:05, 27 January 2014 (UTC) henceforth sponsors Pidgeon as Associte Member of Noisebridge

# [[User:Thex|thex]] ([[User talk:Thex|talk]]) 18:23, 30 January 2014 (UTC)

[[File:ShadeS.jpg|1000px]]

User:Malaclyps

2014-02-06T05:37:59Z

Rubin:

[[Category:Members]]
I'm [http://www.spesh.com/danny Danny O'Brien]. I am a small, blue thing, like a marble or an eye. Assuming it wasn't a giant marble or a brown eye. I am currently trying to keep track of stuff to do with noisebridge on my [[User_talk:Malaclyps|talk page]]

[[File:Malaclyps.jpeg|300px]]
== How To Let Me Logon To Your Computer ==

ssh-rsa AAAAB3NzaC1yc2EAAAABIwAAAQEAuyETF9YkdB4ildn5ZE9iFa8Bl7c5W+A4G0lic2v2ZeLD0uuyjbHHhE3B9q8p6QrlJgr9cNvHji9zh0bC2RdgRrG4IFC8XjGOoMnDhnAheX2ObAcmfiaLVTxtVxje+bTbvvMBrN9yH5YCJc2WO/zEPERVDW2CZyYmEjra9YNaqZHLFygxiHmySH5g5evu6swSLT7Hev1EFdEFfpX0dWYv83texwc6S2J23ok/MHLy0y4Y7SpLjx66O0/FXU9ysWQ9LtSrP6NV1c26F3x8r+6D2Dy9F3YgLO2Ld3IxjAXh0viWm5rCfMMRMCERSQxFiqbHUt6rfSAzKhYw6MFK/ZBVEw== danny@sloop.local

# adduser --shell /bin/zsh --gecos "Danny O'Brien" dob

== GnuPG Key ==

http://www.spesh.com/danny/crypto/

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nlTv/Eyrmwk9nesCpmQFe56ycbHL4CnZZw+3Hh9/3ZRcehm1UY0Q+ht3m2EW5gMzEudJvzX1
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Hh8AR+3wLrbUW4fXSNMDhBabVe3/6K1mzfabA/iAF5W7I3MKQm16qLJ1plS0sHMGjlZijb/Y
4JpdaXyn/TH6rQ9jnVZV2SQcIbb4RpMRrO3WR8a46NFLsr+TLElXoUsOyYdLnp1UgvVnP3Hm
u4TE5uNlrauIu5OeooCaEIyIS4Ew+hB8yK7MXrZndZ61gBFtxwwLdAkXdkpN7l6tGN3dWG60
TJP0MVsjCvnsT4KliK/3mZ+WAIfmtGe+MFGGc5TRvVsU9w==
=28M5
-----END PGP PUBLIC KEY BLOCK-----

</pre>

[[Category:Keys_Available]]
[[Category:Members]]

[[File:ShadeS.jpg|1000px]]

User:Malaclyps

2014-02-06T05:37:37Z

Rubin:

User:Kalessin

2014-02-06T05:36:11Z

Rubin:

= Kalessin =

[[File:ShadeS.jpg|right|400px]]

I'm a sysadmin & software programmer, I usually work on my own things, one being [http://www.rathaxes.org/ Rathaxes] a domain specific programming language (DSL) to write device drivers. I moved in SF two years ago, I'm originally from France.

I'm really glad that I'm living near Noisebridge, I don't like working from home. I didn't really participate in any shared project in the space, but I could probably give some help with the network/servers infrastructure.

* http://www.kalessin.fr/

== SSH public key ==

<pre style="overflow: auto; padding: .5em;">ssh-rsa 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 root@ratel.kalessin.fr
</pre>

Sponsors:

# [[User:Ravyn|Ravyn]]
# Kalessin offers over 9000 Bitcoin's to the [[User:N0 Hat|N0 Hat]]. The [[User:N0 Hat|N0 Hat]] sponcers Kalessin for associate membership in Noisebridge.
'''( ⌣́,⌣̀)......."''I see what you did there''".......(^◡^ )'''
[[Category:Applicant]]

User:Rubin110

2014-02-06T05:35:24Z

Rubin:

[[File:ShadeS.jpg|1000px]]
[[Image:Rubin - all the donuts - by Audrey Penvin.jpg|right]]
(╯°□°）╯︵ ┻━┻

=Rubin Starset=

Hi, I'm Rubin. Most of the time my hair is colored bright. I enjoy helping to create moments that force people to question their notion of reality. If you search hard enough, you might be able to find out more about me. Though if you're lazy, you could just go [http://rubin.starset.net here].

-----BEGIN PGP SIGNED MESSAGE-----
Hash: SHA1

Rubin
rubin@starset.net

PGP
Key ID: 0x1AEF90F4
Fingerprint: 3C8C F75D 7627 DDBD 8CB3 AAE7 D88E F061 1AEF 90F4
http://rubin.starset.net/pgp
http://pgp.mit.edu:11371/pks/lookup?op=get&search=0xD88EF0611AEF90F4
https://keys.indymedia.org/pks/lookup?op=vindex&search=0xD88EF0611AEF90F4

SSH
ssh-dss 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 rubin@starset.net

OTR
rubin@starset.net/lines (XMPP)
Fingerprint: 82982314 3F4F5B13 AC31C763 B2F5D5DE 2D898908

-----BEGIN PGP SIGNATURE-----
Version: GnuPG v2.0.18 (GNU/Linux)

iQEcBAEBAgAGBQJPerkAAAoJENiO8GEa75D0D7gH+wWXsMWhV/QO10WufYdGssd0
NJdbe4Mz70hoB/VgagdhT1RlydTjGOGOVrimZoCOw4IfUdmEfxHu+DVGmbPRsop3
Mt2qEmSG54Bnut4B+sqYskrOY5qrF6nrzf3ytDKuDExb6ZoKpyhLkW1G6pATgDph
D7WEWRXifWNieCOe35ukhZRFht8TmwT+U8I8wJx2adZp6fZeLyrGLbRC/s4vDKN3
TrDyHUszaADw/1gq8Re/TRJRn7r3YrJOOzwt6ldw3GiYhV2CMw/PFsvq/yhtQhZR
zqsIOga4Of6YfeNGhnH4kMmezAedoVZv3az584nuNyoFnPge/k4uPm26vL749+E=
=jUjq
-----END PGP SIGNATURE-----

==== <tt>/etc/passwd</tt> entry ====

$ sudo adduser --gecos 'Rubin Starset' --shell /bin/bash rubin110

[[Category:PGP]]