Course Description
Pre-Requisite(s):
CS 2150 or CS 3100 with a grade of C- or better; APMA 3100, APMA 3110, MATH 3100, or equivalent and Math 3350 or APMA 3080 or equivalent
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.
