CS 5780 - Machine Learning for Intelligent Systems

Spring. 4 credits. Student option grading.

Prerequisite: probability theory (BTRY 3080, ECON 3130, MATH 4710, or strong performance in ENGRD 2700 or equivalent); linear algebra (MATH 2940 or equivalent); CS 2110 or equivalent programming proficiency. Co-meets with CS 4780.

Staff.

An introduction to machine learning for intelligent systems (e.g. search engines, recommender systems, ad placement). Topics include supervised learning, statistical learning theory, and online learning. This course can be taken independently or in any order with CS 4786/CS 5786.