DSCI445: Statistical Machine Learning

Fall 2021

Dr. Andee Kaplan
Lectures: MW 9am - 9:50am Engineering E 104
Labs: F 9am-9:50am Weber Building 205
Office Hours: TR 1:30pm - 2:30pm Online via Zoom (see Canvas for link)
andee.kaplan@colostate.edu

Statistical Learning refers to a set of tools for modeling and understanding complex datasets. The area combines knowledge from statistics and computer science to tackle these “big data” problems and has become a popular area of work.

By end of course, students will be able to:

1. Formulate prediction problems as statistical machine learning problems (classification, regression, clustering).
2. Choose and apply the appropriate learning methods to their data.
3. Conduct well thought-out statistical machine learning experiments and interpret the results.
4. Write technical reports describing their work.