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.

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

Semesters

Fall 2022 Semester
Course Title Instructor Campus Section Syllabus Learning Management System
Machine Learning Foundations Ana Stanescu, Ph.D. Carrollton 01 external Syllabus via Concourse External Resource Course Section External Resource