MATH 455 - Statistical Learning

Credits: (3)
Prerequisite(s): MATH 451
Introduction to the theory of statistical learning techniques and application of these approaches to real data. Course broadly covers supervised and unsupervised learning, including topics in regression, classification, clustering, dimensionality reduction, model evaluation and selection.