STAT 428 - Statistical Machine Learning II

When Offered: F, S, SS

This course covers mathematical, statistical, and computational approaches in statistical learning techniques including deep learning methods. Topics include dimension reduction, regularization, neural network algorithms, and parallel computing. Student will learn a wide range of applications in science, business, and medicine using contemporary programming tools.

Prerequisite(s): STAT 328.