Class Number: 1918
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.
| Days | Time | Date Range | Location | Instructor |
|---|---|---|---|---|
| MW | 01:30 PM - 02:45 PM | 01/20/2024 - 05/17/2024 | Bell Tower 1642 | Isaac Quintanilla-Salinas |
Status: Open
Session: Regular Academic Session
Units: 3.00
Class Components: Lecture
Career: Undergraduate
Start Date: 01/20/2024
End Date: 05/17/2024
Grading: Letter Grade
Class Availability
Information below is 24 hours old.Enrollment Total: 11
Available Seats: 14
Wait List Capacity: 10
Wait List Total: 0
Enrollment Information
- Upper Division
- In-Person