Lectures: Tuesdays 12:00-2:00 in Galbraith 220
Tutorials: Wednesdays 3:00-4:00 in room Bahen 2175
Instructor: Richard Zemel; email csc2515prof [at sign] cs.toronto.edu
Office Hours: Richard Zemel: Thursdays 3:00-4:00pm (Pratt 290D)
Tutors: Inmar Givoni and Maks Volkovs; 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 24 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 U of T 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.
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. [Computing Information] [Matlab Information]
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.
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