CSC 584 Introduction to Machine Learning
The course introduces principles, algorithms, and applications of machine learning from the point of view of modeling and prediction; formulation of learning problems; representation, over-fitting, generalization; clustering, classification, probabilistic modeling; and methods such as support vector machines, hidden Markov models, and Bayesian networks.
Cross Listed Courses
CSC 484, CSC 584,
EE 484,
EE 584,
DA 515