Random forests, Decision trees and Ensemble methods

I found an excellent machine learning graduate course (2013) at UBC.

http://www.cs.ubc.ca/~nando/540-2013/lectures.html

Youtube channel:

https://www.youtube.com/playlist?list=PLE6Wd9FR–EdyJ5lbFl8UuGjecvVw66F6&feature=view_all

Andrew’s recommendation for apply ML methods.

http://cs229.stanford.edu/materials/ML-advice.pdf

Decision Trees

Random forests (very easy to understand)

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