Class Id: 9482
Days: TTh
Start Time: 11:00 AM
End Time: 11:50 AM
Building: LEWLI
Room: 120
Course Id: 4237
Departments and Numbers: EGR 218, ELE 218, PHI 218
Area: EC
Title: Learning Theory and Epistemology
Description: A broad and accessible introduction to contemporary statistical learning theory as a response to the philosophical problem of induction. It is intended for students of all backgrounds. Topics covered include pattern recognition, the Bayes rule, nearest neighbor methods, neural networks, and support vector machines.
Prerequisites: No specific course prerequisites, but the course will require analytical and logical thinking.
Professors: Gilbert H. Harman, Sanjeev R. Kulkarni
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Created by Bob Dondero.