Machine Learning. (3-0) 3 Credit Hours

Catalog description

Prerequisite: CS 3343 or consent of instructor. This course is a study of fundamental concepts and methods of machine learning. The strengths, weaknesses, and challenges of several machine learning algorithms will be covered. Topics include regression analysis, support-vector machine, dimensionality reduction, clustering, decision tree, k-nearest neighbor, neural networks, and other advanced topics selected by the instructor. Generally Scheduled Location: Downtown Campus. This course has Differential Tuition. Course Fee: GA02 $90; IUCA $45.