Introduction to Statistical Learning Theory
Spring 2015

[Course description] [Announcements] [Lectures] [Assignments]

Course description

Course staff:

Time and Location:Thursday, 0915-1100, Ziskind, Rm 261

Syllabus: This course will provide a comprehensive introduction to the statistical aspects of learning theory, focusing on generalization: When can we use a finite sample and use it to predict new examples? If we can, how many samples do we need? Etc.

Prerequisites: Students are expected to be familiar with linear algebra and probability at an undergraduate level, and the course will require some mathematical maturity.