2018-2019 Undergraduate & Graduate Catalog
CIS 678 - Machine Learning
Broad introduction to machine learning computer programs that improve their performance with experience. Topics include decision trees, neural networks, statistical methods, genetic algorithms, Bayesian learning methods, explanation-based goal regression, reinforcement learning, and learning frameworks. Includes an applied machine learning component that provides exposure to established algorithms and machine learning programs. Offered winter semester. Prerequisite: CIS 500 or CIS 661 or equivalent.
Credits: 3