Teaching

Furious activity is no substitute for understanding. - H.H. Williams

Current Course Offerings
I'm on sabbatical this year so I'm not offering any courses in 2007/08.

Usual Course Offerings

CSC310F Information Theory (undergrad)
CSC2515F Machine Learning (grad)
CSC412/2506S Uncertainty and Learning in AI (crosslisted grad/undergrad, every other year)

Past Courses

CSC2515 Machine Learning (2002, 2003, 2004, 2005, 2006)
CSC412 Uncertainty and Learning in Artificial Intelligence (2002, 2003, 2004, 2006)
CSC2506 Probabilistic Reasoning [cross-listed version of CSC412] (2004, 2006)
CSC310 Information Theory (2005, 2006)
ECE242 Algorithms and Data Structures (undergrad engineering) ( fall 2003)

Course Descriptions

Informal Notes and Lecture Slides

Matrix and Gaussian identities (useful!)
Speech Processing Background (possibly useful)
other outdated materials, probably useless...

External Tutorials

HMMs, Linear Dynamical Systems, Unsupervised Learning, SVMs, VC Theory,...

Previous Teaching and Outreach

GCNU: Unsupervised Learning
Caltech: Collective Computation (CNS185) (1996) (new)
Caltech: Learning Theory (CNS156) (1996) (new)
Caltech: CNS Basic Math Class (1995)
U.Toronto: Aerospace Projects Design Lab (AER201S)
Science Outreach

Are you a computer science undergraduate?
If so, check out the Undergrad Announcements web site.

[ | Information | Research | Teaching | Professional | ]

Sam Roweis, Machine Learning Group, Toronto Computer Science, www.cs.toronto.edu/~roweis