Computer Science and EngineeringCSE 290C Advanced Topics in Machine Learning

In-depth study of current research topics in machine learning. Topics vary from year to year but include multi-class learning with boosting and SUM algorithms, belief nets, independent component analysis, MCMC sampling, and advanced clustering methods. Students read and present research papers; theoretical homework in addition to a research project. (Formerly Computer Science 290C.)

Requirements

Prerequisite(s): CSE 242.

Credits

5

Instructor

David Helmbold, Lise Getoor

Repeatable for credit

Yes