Units:

12

Description:

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

Last Modified: 2018-05-03 4:39PM

Semesters offered:

• Fall 2015
• Fall 2014
• Fall 2013
• Fall 2012
• Spring 2012
• Fall 2011
• Fall 2010
• Fall 2009