STATISTICAL MACHINE LEARNING

Credit Hours: 3 · Graduate

This course is an advanced survey of statistical machine learning theory and methods. Emphasis will be placed methodological, theoretical, and computational aspects of tools such as regularized regression, classification, kernels, dimension reduction, clustering, graphical models, trees, and ensemble learning. Recommended Prerequisite(s): STAT 615 and STAT 605 and STAT 519 . Mutually Exclusive: Cannot register for STAT 613 if student has credit for ELEC 478 .