Detailed Course Information |
Fall 2021
Apr 16,2024 |
|
 |
||
 | Select the desired Level or Schedule Type to find available classes for the course. |
| CMPS 320 - MACHINE LEARNING |
|
This course provides students a basic understanding of machine learning, along with the software development skills to develop models and integrate machine learning into practical applications. Topics include foundational techniques such as linear and logistic regression, confusion matrix, recall, support vector machines, and other key principles of machine learning.
0.000 TO 4.000 Credit hours 0.000 TO 4.000 Lecture hours Levels: Undergraduate Schedule Types: Hybrid, Lecture, Lecture/Online, Online Course Computer Science Department Restrictions: Must be enrolled in one of the following Levels: Undergraduate Prerequisites: FOR CMPS 320 General Requirements: ( Course or Test: CMPS 231 Minimum Grade of C May not be taken concurrently. ) or ( Course or Test: CMPS 240 Minimum Grade of C May not be taken concurrently. ) |
| Return to Previous | New Search |
|