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


Fall 2024 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