STA 629 - STATISTICAL MACHINE LEARNING AND PREDICTIVE MODELING

College of Arts and Sciences

Credits: 3

Supervised learning, classification methods (e.g., Classification and Regression Trees), model assessment, cross validation, random forests, model selection, and other state-of-the art modeling techniques, unsupervised learning.

Prerequisite(s):
Prereq: STA 603 and STA 606.