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
Semesters
| Course Title | Instructor | Campus | Section | Syllabus |
|---|---|---|---|---|
| Machine Learning Foundations | Ana Stanescu, Ph.D. | Carrollton | 01 | external Syllabus via Concourse External Resource |