Machine Learning


CS4824: Algorithms and principles involved in machine learning; focus on perception problems arising in computer vision, natural language processing and robotics; fundamentals of representing uncertainty, learning from data, supervised learning, ensemble methods, unsupervised learning, structured models, learning theory and reinforcement learning; design and analysis of machine perception systems; design and implementation of a technical project applied to real-world datasets (images, text, robotics).  Cross-listed with ECE 4424.  (3H, 3C)

Prerequisites: ECE 2574 or equivalent; STAT 4705 or 4714 (A grade of C- or better required in prerequisites.)

Taught By: Bert Huang