CS 6443 - Machine Learning

Sem. Hrs: 3

The theory and practice of machine learning from a variety of perspectives. Topics include supervised learning (classification, regression); unsupervised learning (clustering, dimensionality reduction); reinforcement learning; and computational learning theory.

Prerequisites: CS 3113 or “B” or better in CS 5032, and STAT 3233.