CSI4170

Machine Learning

Introduction to recognition and learning; Bayes decision theory; parametric and nonparametric methods including Hidden Markov models; Discriminant functions including support vector machines; Multilayer neural networks; Decision and regression trees for learning; Performance estimation; Unsupervised learning and clustering; Subspace methods; Application. The course includes a team project. *Approved Slash Course. Credit can only be earned for CSI 4170 or CSI 5170. Prerequisite(s): (CSI 2560 or APM 2555 or MTH 2775) and (EGR 2600 or STA 2221 or STA 2226)Additional Requirement(s): Major standing

School of Egr. and Comp. Sci.