Principles of Machine Learning

Catalog description

This Graduate course provides students with an understanding of foundations concepts and theories in machine learning. Students will explore foundational topics that include: supervised and unsupervised learning, learning theory, reinforcement learning and adaptive control. Students will gain an understanding of applications of machine learning in areas of data mining, human computer interaction, natural language processing and computer vision. Prerequisite: CSC510 Artificial Intelligence