Description: Hours: Three hours lecture per week
Prerequisite: MATH 398
Description: Students will learn how to construct machine learning models using current data science programming languages. Topics will include regression, classification, nonparametric models, tree-based methods, deep learning models, and unsupervised learning techniques.
Units: 3.00
Grading: Letter Grade
| Session | Section | Class # | Type | Days | Time | Location | Instructor | Course Details [Key] |
|---|---|---|---|---|---|---|---|---|
| 1 | 01 | 1046 | LEC | MW | 03:00 PM - 04:15 PM | Bell Tower 1462 | Isaac Quintanilla-Salinas |
|
Key for Course Detail Icons
| = Course Open |
 = Course Closed |
= Course Details |
 = Textbook Info |
 = General Education |
 = Extended University |
 = Service Learning |
= In Person |
 = Asynchronous Online |
 = Synchronous Online |
 = Synchronous/Asynchronous |
 = Blended |
 = No Cost Course Materials |
 = Low Cost Course Materials |