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The Department of Computer Science at the University of Toronto has several faculty members working in the area of machine learning, neural networks, statistical pattern recognition, probabilistic planning, and adaptive systems. In addition, many faculty members inside and outside the department whose primary research interests are in other areas have specific research projects involving machine learning in some way.

• People : faculty members, postdocs, students, affiliates
• Projects : current research projects
• Courses : relevant courses inside and outside the department
• Meetings : we meet jointly with the ai-probabilistic reasoning group every week

Thinking about graduate work in the area of machine learning, applied statistics or probabilistic methods in AI?
Looking for undergraduate research opportunities working with faculty and students in our group?
We'd be happy to give you more information. Email us at learning-request [at] cs [dot] toronto [dot] edu

Recent News:

• Congratulations to Jennifer Listgarten for successfuly completing her departmental thesis defense!
• Sam Roweis promoted to be a Senior Member of the IEEE.
• Aaron Hertzmann awarded a Microsoft Research Fellowship.
• Geoffrey Hinton is named as a University Professor.
• Sam Roweis wins a CSSU Teaching Award for 2005/6.
• Mike Brudno has joined the department as part of our growing strength in Bioinformatics. Welcome Mike!
• Aaron Hertzmann awarded a Sloan Research Fellowship.
• Quaid Morris has joined the faculty at Toronto in the Banting and Best Department of Medical Research and the Donnelly CCBR.
• Geoffrey Hinton received the 2005 IJCAI award for Research Excellence.
• Sam Roweis awarded a Sloan Research Fellowship.
• Aaron Hertzmann named to MIT TR100.