MSCS-535 Machine Learning

(3 cr.)
Repeatable for Credit: No
Methods for supervised learning of labelled data sets, and unsupervised learning of unlabelled data sets. Theory, application, and validation of models, including linear-subset, nearest-neighbor, support-vector machines, forests, neural networks, and other geometric methods.
Prerequisite: Programming Experience Required.