CS446: Machine Learning

Spring 2017

Prof. Dan Roth

Tue/Thu 17:00 - 18:15pm 1404 Siebel Center


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Course Information

Course Information
Handouts & Resources
Lecture Notes
Problem Sets & Exams

Text: I will not follow the text book closely - a lot of the material covered isn't there, but it is still a useful book to have. Some, but not all of the material covered is in the recommended books below. All the books listed below are reserved in the Engineering Library. If you plan to do research in Machine Learning or related areas you will eventually need these books; otherwise, borrowing a copy is sufficient for now (it's expensive)
Recommended books: Don't forget to visit the handouts and resources page for other introductory material on linear algebra, probability, and propositional logic.

Dan Roth