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Course Offerings

Course Evaluation Results

Course Details

Spring 2013-2014
COS 511   Graded A-F, P/D/F, Audit

Theoretical Machine Learning

Robert E. Schapire

Introduction to theoretical machine learning, including mathematical models of machine learning, and the design and rigorous analysis of learning algorithms. Likely topics include: bounds on the number of random examples needed to learn; learning from non-random examples in the on-line learning model; how to boost the accuracy of a weak learning algorithm; support-vector machines; maximum-entropy modeling; portfolio selection; game theory. Regular problem sets and final project. Attendance expected at all lectures.


Other Requirements:
Not Open to First Year Undergraduates.

Other information:
If course is full, contact professor in charge to be placed on wait list.

Website:  http://www.cs.princeton.edu/courses/archive/spring14/cos511

Schedule/Classroom assignment:

Class numberSectionTimeDaysRoomEnrollmentStatus
43135 L01 11:00:00 am - 12:20:00 pm T Th   Engineering Quad A-Wing   A224   Enrolled:36 Limit:20 Closed