Graduate Catalog 2019-2020

CSC 735 Machine Learning and Data Mining(GNA)

3 hours; 3 credits. Topics in machine learning will be applied to data mining and image understanding. Topics may include: neural networks, decision trees, support vector machines, Bayesian learning, association rules, cluster analysis, fuzzy logic, linear regression, visualization methods, and additional current topics in this field. Prerequisite: Admission to the Computer Science MS Program or Permission of the Coordinator of the Computer Science MS Program.