Statistical Machine Learning, Kyoto U. (Spring 2016)

Part I, Statistical Learning Theory

October 6 - December 1

• Introduction [Slides]

• Regression [Slides] [ Data mat or csv] [Scripts] [Larger Dataset]

• Regression 2 [Slides]

• Classification [Slides] [Scripts] [Perceptron Demo]

• Statistical Learning Theory [Slides] [Scripts]

• Statistical Learning Theory 2 [Slides] [Scripts]

Recommended reading for derivatives and gradients: Appendix A.4 of this book

Assignments

Homework 1, due May 9th, send to this this email.