CalTech Machine Learning Course – CS 156

Found this posted on /r/programming this morning. The course is taught by Yaser Abu-Mostafa and looks pretty sweet. The closet thing I’ve ever done in ML was playing around with Neural networks comparing Jets and Sharks but I’ll throw in a few extra links just encase anyone finds them useful.

Learning From Data
This site contains the central topics covered in Machine Learning Course – CS 156. The video lectures are spliced around the focal points and seemed to be around 30 minutes.
http://work.caltech.edu/library/

Machine Learning Course – CS 156 Youtube Channel
This is the link for Caltech’s channel of video lectures. The lectures seemed to be around a hour and half which is awesome. They start out with a review and end in a Q&A.
CalTech CS 156

Here are a few of my neural nets links.
There is a pycon presentation that covers this code sample written by Raymond Hettinger. I’m not entirely sure what year, I think 2011, maybe 2010 if that helps in any internet searching.
Data Mining with Neural Nets

An Introduction To Neural Networks
This is an IBM developerWorks article written by Andrew Blais and David Mertz so it’s a must read.

An introduction to neural networks

Weave a neural net with Python
Another developerWorks article only written by Andrew this time.
Weave a neural net with Python

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