DAT 434 - Machine Learning

Credits: 4

This course introduces machine learning techniques and their implementation. Topics include regression models, decision trees, reinforcement learning, neural networks, naive Bayes, nearest-neighbor algorithms, and other clustering and probability classification techniques.

Prerequisites: STAT 435