MAT 2215 - Mathematics for Machine Learning & Artificial Intelligence

5 Cr. Hr(s).
The four pillars of machine learning are regression, dimensionality reduction, density estimation, and classification. This course aims to establish the mathematical foundation upon which to build these pillars by covering carefully selected topics in linear algebra, analytic geometry, vector calculus, probability and distributions, and optimization.
Prerequisite(s): MAT 1570 OR MAT 1580 with a grade of C or better OR satisfactory score on math placement test