CPTR 330 Machine Learning for Data Science

Introduction to machine learning as a tool for the data scientist. Students will apply and implement regression, classification, tree-based, and other statistical learning methodologies for the analysis of large data sets. Additionally, students will construct ensembles and tune their models to improved accuracy. Offered even years.

Credits

4

Prerequisite

CPTR 142 or CPTR 230; MATH 215 or MATH 315

Distribution

Computer Science