CS 7333 - Machine Learning

Comprehensive survey of computational mechanisms that allow autonomous agents to acquire knowledge and expertise and enables them to improve performance on a given set of tasks from experience. Covers symbolic and sub-symbolic schemes; supervised, reinforcement, and unsupervised learning; single agent and multi-agent systems; robot learning; learning information agents; practical applications. Students work in groups on final research project. Prerequisite: CS 6613.