CS-4275 Machine Learning Foundations

School of Computing, Analytics, and Modeling Dr. Perry College of Mathematics, Computing, and Sciences

Description

A broad introduction into the theoretical foundations and essential algorithms for supervised and unsupervised learning with a focus on best practices and real-world problems.

Requisites

Prerequisites: CS 3270 Minimum Grade: C and MATH 3203

Course Hours

Lecture Hours: 2.00 Lab Hours: 2.00Total Hours: 3.00