CS 4780 - 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 1920 or equivalent); CS 2110 or equivalent programming proficiency. Co-meets with CS 5780. This course can be taken independently or in any order with CS 4786/CS 5786.

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.