Course Description

An introductory course in machine learning, with a focus on data modeling and related methods and learning algorithms for data sciences. Tentative topic list:

Can be taken independently or in any order with CS4780/5780 (Machine Learning for Intelligent Systems).

Prerequisites: probability theory (BTRY 3080, ECON 3130, MATH 4710, or strong performance in ENGRD 2700 or equivalent); linear algebra (MATH 2940 or equivalent); CS2110 or equivalent programming proficiency.

News (see also announcements on lecture handouts)