CS 4774 - Machine Learning

Effective Start Date: 08/01/2021
An introduction to machine learning: the study of algorithms that improve their performance through experience. Covers both machine learning theory and algorithms. Introduces algorithms, theory, and applications related to both supervised and unsupervised learning, including regression, classification, and optimization and major algorithm families for each. Prerequisites: CS 2150 or CS 2501 topic DSA2 with a grade of C- or higher, and either Math 3350 or APMA 3080; and one of APMA 3100, APMA 3110, MATH 3100, or equivalent

Requisites: Must have completed CS 2150 or CS 2501 topic DSA2

Credits: 3