Jun 18, 2019  
Graduate Record 2015-2016 
Graduate Record 2015-2016 [ARCHIVED RECORD]

CS 6316 - Machine Learning

This is a graduate-level machine learning course. Machine Learning is concerned with computer programs that automatically improve their performance through experience. This course covers introductory topics about the theory and practical algorithms for machine learning from a variety of perspectives. Topics include supervised learning, unsupervised learning and learning theory. Prerequisite: Calculus, Basic linear algebra, Basic Probability and Basic Algorithm. Statistics is recommended. Students should already have good programming skills.

Credits: 3