| |
Dec 06, 2025
|
|
|
|
|
CMPS 422 - Machine Learning Credit Hours: 3
Lecture Contact Hours: 3 Lab Contact Hours: 0
Grading Option: A,B,C,D,F
Problem formulation and feature engineering. Supervised and unsupervised learning tasks and their implementation and performance assessment. Challenges with model training, memory allocation, parameter search, and fine-tuning.
Prerequisite(s): CMPS 340 , CMPS 261 , and either MATH 270 or MATH 272 , all with a grade of C or better.
MAX number of credit hours applicable to degree: 3
Add to Catalog (opens a new window)
|
|
