DSCI445: Statistical Machine Learning

Fall 2020

Dr. Andee Kaplan
Lectures: MWF 9am - 9:50am Online via Zoom (see Canvas for link and password)
Office Hours: MW 10am - 11am Online via Zoom (see Canvas for link and password)

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.