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
Info has been updated in the last 30 minutes
Session Section Class # Type Days Time Location Instructor Course Details [Key]
1 01 1210 LEC TTH 10:30 AM - 11:45 AM Bell Tower 1462 Alona Kryshchenko Course open Course Details In Person Online Course

Key for Course Detail Icons

Course open= Course Open Course Closed= Course Closed Course Details= Course Details
Textbook Info= Textbook Info General Education Class= General Education Extended University Class= Extended University
Service Learning Class= Service Learning In Person Class= In Person Asynchronous Online Class= Asynchronous Online
Synchronous Online Class= Synchronous Online Synchronous/Asynchronous Class= Synchronous/Asynchronous Blended Class= Blended
Synchronous/Asynchronous Class= No Cost Course Materials Low Cost Course Materials= Low Cost Course Materials
Back to Top ↑