CSCI 5336 - Machine Learning

Credit Hours: 3

Exploring advanced concepts of machine learning: elements of probability distribution and linear algebra, supervised and unsupervised learning, linear and nonlinear regression, classification, neural networks, support vector machines, sampling methods, K-Means clustering, Bayesian networks and reinforcement learning. Theory and applicability of each technique will be covered. Students who receive credit for CSCI 4336 will not receive credit for this course.