CSCE A415 — Machine Learning 3 Credits
In-depth survey of basic and advanced concepts of machine learning. Topics include linear discrimination; supervised, unsupervised and semi-supervised learning; multilayer perceptrons; maximum-margin methods; Monte Carlo methods; and reinforcement learning. Registration Restrictions: Admission to BS Computer Science, BS Computer Systems Engineering, or BS Electrical Engineering, or instructor approval Special Note: Not available for credit to students who have completed CSCE A615 . May Be Stacked With: CSCE A615