18-697SV: Statistical Discovery and Learning

Units: 12

This course is designed to give students a thorough grounding in the methods, theory, mathematics and algorithms needed to do research and applications in machine learning. The topics of the course draw from machine learning, classical statistics, data mining, Bayesian statistics and information theory and other areas. This course is project-oriented and is intended to give students abundant hands-on experience with different machine learning algorithms. Students who have already taken CS 10-701/15-781 Machine Learning should not take this course.

Anti-requisites: 10-701 and 15-781


Areas:

Signal Processing and Communications

Last modified on 2013-11-19

Current session:

This course is currently being offered.

Past semesters:

F13, F12