STAT 428 - Statistical Machine Learning II

When Offered: F, S

3 Credit(s)
3 Lecture Hour(s)
0 Lab Hour(s)

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.