CMPUT 466/551 - Machine Learning

Winter 2004
Department of Computing Science
University of Alberta


Instructor: Dale Schuurmans, Ath409, x2-4806, dale@cs.ualberta.ca

TAs: Alexander Kovarsky (kovarsky)
Qiongyun Zhang (qiongyun)

Room: ETL E1-008
Time: TR 2:00-3:30
Office hours: TR 3:30-4:15 (or by appointment)

Textbook: The Elements of Statistical Learning, Hastie, Tibshirani, Friedman, 2001, Springer

Newsgroup: ualberta.courses.cmput.466


Course work

4 Assignments 15% each (Some programming in Matlab, and some theory)
Project 40% (CMPUT 466 students must do projects in groups of 2 or 3; CMPUT 551 students must do projects individually)


Course announcement

Course outline

Project

Assignment 1 (data1.mat)

Assignment 2 (data2.mat)

Assignment 3 (data3.mat) (data3test.mat)

Assignment 4


Reinforcement learning background

Notes on optimal behavior:

behave1
behave2
behave3
behave4


Matlab Tutorial