Machine Learning

Catalog description

The fundamental concepts and algorithms of machine learning, including supervised and unsupervised learning, model evaluation, and feature selection. Students implement machine learning algorithms and apply them to real-world data. Prerequisite(s): CSCI 3430 >=C and MATH 3250 >=C Lecture Hours: 3 Repeatability: May not be repeated for credit. Grade Mode: N- Normal (A, B, C, D, F) Schedule Type (Primary): Lecture Schedule Type (Additional): Asynchronous Instruction Click here for the Schedule of Classes.