CSI5170

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. This course requires backgrounds on data structures and algorithms. Formerly, CSE 616 and CSI 6160. Cross-listed with CSI 4170.

CSE616, CSE6160

School of Egr. and Comp. Sci.