CSC 484 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.

Credits

3

Cross Listed Courses

CSC 484, CSC 584, EE 484, EE 584, DA 515