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 | 1918 | LEC | MW | 01:30 PM - 02:45 PM | Bell Tower 1642 | Isaac Quintanilla-Salinas |
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