Mschachter: Created page with '=== Introduction === The most relevant Calculus for machine learning involves the [http://en.wikipedia.org/wiki/Derivative Derivatives], and the multi-dimensional version of the …'

2011-01-06T16:59:38Z

Created page with '=== Introduction === The most relevant Calculus for machine learning involves the [http://en.wikipedia.org/wiki/Derivative Derivatives], and the multi-dimensional version of the …'

New page

=== Introduction ===
The most relevant Calculus for machine learning involves the [http://en.wikipedia.org/wiki/Derivative Derivatives], and the multi-dimensional version of the derivative, known as the [http://en.wikipedia.org/wiki/Gradient Gradient]. If you can compute gradients, you can do [http://en.wikipedia.org/wiki/Gradient_descent Gradient Descent], the most basic form of [http://en.wikipedia.org/wiki/Optimization_%28mathematics%29 Optimization].

=== Resources ===
*Set of [http://www.online.math.uh.edu/HoustonACT/videocalculus/index.html video lectures].

Machine Learning/NBML/Calculus - Revision history

Mschachter: Created page with '=== Introduction === The most relevant Calculus for machine learning involves the [http://en.wikipedia.org/wiki/Derivative Derivatives], and the multi-dimensional version of the …'