CS 6316 - Machine Learning

A graduate-level course on machine learning techniques and applications. Topics include: Bayesian learning, evolutionary algorithms, instance-based learning, reinforcement learning, and neural networks. Students are required to have sufficient computational background to complete several substantive programming assignments.
Prerequisite: A course covering statistical techniques such as regression. Graduate Standing.



Credits: 3