Lectures

 

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Aug 31 Introduction to Learning
Sep 07 Classifiers Based on Bayes Decision Theory
Sep 14 Density Estimation
Sep 14 Read Appendix C (The E-M Algorithm) available here. Sep 21 The Perceptron Algorithm
Sep 28 Statistical Learning Theory
Oct 05 Theory of Generalization
Oct 12 Nonlinear Classification and the Kernel Trick
Oct 19 Support Vector Machines
Oct 26 Consistency, Nearest Neighbor Algorithms, Validation


These notes are to be used only for this course and are not to be distributed or reused for any other purpose.