Introduction to Machine Learning

Catalog description

The course provides an introduction to machine learning and implementation of simple machine learning algorithms. Topics include regression, classification, supervised learning, unsupervised learning, and ethics in Machine Learning. Practical applications are also considered using various machine learning libraries and tools. Approved for distance education. Prerequisite(s): C or better in CS 2020 and a corequisite of MATH 3320 or equivalent or a C or better in CS 2200 .