CSC2515 -- Spring 2010
Introduction to Machine Learning

Students should check these pages at least once a week for important information.

News:

• Homework 3 is available here. It is due before class on March 24th.
  
• If you have not heard back about your project proposal by Monday March 15, please send me email saying so, and also please attach your proposal. Many of the proposals did not have email addresses so we are having trouble contacting you about these.
  
  

Lectures: Wednesdays 1:00-3:00 in room BA2175
Tutorials: Wednesdays 3:00-4:00 in room GB120

Instructor: Richard Zemel; email csc2515prof[at sign]cs.toronto.edu
Office Hours: Richard Zemel: Thursdays 3:00-4:00pm (Pratt 290D)

Tutors: Inmar Givoni, James Martens; email csc2515ta[at sign]cs.toronto.edu

Please do NOT send the instructor or tutors email about the class directly to their personal accounts. It will be deleted. We will only respond to class email if it is sent to csc2515prof or csc2515ta[at sign]cs.toronto.edu

Prerequisites: some knowledge of calculus, linear algebra, and statistics
Load: About 26 hours of lectures; three assignments; one project; plus one final test.

Required Readings: The textbook for the course is "Pattern Recognition and Machine Learning" by Chris Bishop. This will be available in the UofT bookstore. Most of the required readings will be parts of the textbook but there will be some additional readings and we will not cover all of the chapters in the textbook. (see Lectures, Readings, & Due Dates) for details of the required readings.

Marking Scheme
Three assignments worth 15% each
Project worth 30%
Final test worth 25%

Computing
Parts of the assignments will be done in Matlab, but prior knowledge of Matlab is not essential.

Auditing
If you are not registered in the class, it is possible for you to audit it (sit in on the lectures), but only if you get the instructor's permission and follow some rules. See the audit page for more info.