CSI 4170 - Machine Learning

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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. Cross-listed with CSI 5170.
Additional Requirement(s): Major standing
Prerequisite(s): (APM 2555 or MTH 2775) and (EGR 2600 or STA 2221 or STA 2226)