2020-2021 Academic Catalog 
    
    Jun 22, 2021  
2020-2021 Academic Catalog

MSDA 3050 - Applied Machine Learning


This course will be an investigation into the fundamental techniques and practices of machine learning (ML). The primary activities of the course will be a series of lectures and a corresponding series of lab sessions, programming projects, and written assignments. The course will focus on applying ML to practical problems in Data Science using Python and will also introduce the student to some of the fundamental theory of ML.

Prerequisites: MSDA 3055  and MSIT 3090  

Anticipated Terms Offered: Varied