Friday, January 29, 2016

Machine Learning Resources

Last updated date : 14/2/2016
The following are the pre-requisites for learning machine learning. I have collected these resources from various quora answers, books, and MOOCs. 
GitHub Repo
https://github.com/ujjwalkarn/Machine-Learning-Tutorials/blob/master/README.md
https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
https://github.com/owainlewis/awesome-artificial-intelligence
https://github.com/prakhar1989/awesome-courses#machine-learning
Mathematics :

MIT : http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-042j-mathematics-for-computer-science-fall-2005/

http://datascience.ibm.com/blog/the-mathematics-of-machine-learning/
Linear Algebra:
Calculus:
Statistics and Probability:

Programming:






Others:


Machine Learning Books:

CMU ML course : http://alex.smola.org/teaching/cmu2013-10-701x/
Tom Mitchell : http://www.cs.cmu.edu/~tom/10701_sp11/lectures.shtml
Mathematical monk's ML : https://www.youtube.com/playlist?list=PLD0F06AA0D2E8FFBA
Stanford's ML notes : http://cs229.stanford.edu/materials.html
https://www.youtube.com/playlist?list=PLD63A284B7615313A
http://cs231n.github.io/


ML Projects : https://docs.google.com/document/d/1Ph-__LSg6I-BftTY3yBk2erh8hp0Kik12fjj9PUOygM/pub

How to do AI research : http://net.pku.edu.cn/~cuibin/resources/MIT-do-research.pdf

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