STAT 421: Machine Learning

Course Description

Credits 3.
3 Lecture Hours.Theoretical foundations of machine learning, pattern recognition and generating predictive models and classifiers from data; includes methods for supervised and unsupervised learning (decision trees, linear discriminants, neural networks, Gaussian models, non-parametric models, clustering, dimensionality reduction, deep learning), optimization procedures and statistical inference.Prerequisite:Grade of C or better inMATH 304,MATH 311, orMATH 323; Grade of C or better inSTAT 211, andSTAT 404orCSCE 221, orECEN 303, andCSCE 121orCSCE 120.Cross Listing:CSCE 421andECEN 427.