CSCE A615 — Advanced Machine Learning 3 Credits
Topics include linear discrimination; supervised, unsupervised and semi-supervised learning; multilayer perceptron; maximum-margin methods; Monte Carlo simulation; and reinforcement learning. Students are required to implement a research project that applies machine learning technique(s) to a unique and original data set, or to develop a technique that combines or modifies one or more machine learning algorithms. Special Note: Not available for credit to students who have completed CSCE A415 . Registration Restrictions: Graduate standing May Be Stacked With: CSCE A415