STA 363: Statistical Learning

Statistical learning. Learn the theory behind cutting edge statistical and machine learning techniques. Gain hands on experience with real data from a variety of disciplines. The course will focus on the statistical computing language R.


Course info

Lectures

  Section A Tuesday and Thursday 2:00 - 3:15   Manchester Hall 024

  Section B Tuesday and Thursday 12:30 - 1:45   Manchester Hall 018

Teaching team and office hours
Instructor Lucy D'Agostino McGowan     Tuesday 3:30p - 4:00p
Wednesday 10:00a - 11:00a
Thursday 10:00a - 11:00a
Gitter
TA Sarah Renfrow Study Session Monday 7-9p bit.ly/sta-363-s20-study-session
Math & Stats Center   By appointment

Texts

The main text book is:
An Introduction to Statistical Learning with Applications in R James, Witten, Hastie, Tibshirani

A free pdf is available at the website linked above.

We will supplement this with these textbooks freely available online:
Elements of Statistical Learning Hastie, Tibshirani, Friedman
R for Data Science Grolemund, Wickham Springer, 2nd edition, 2017

Materials

This class is very hands on; be sure to bring a fully charged laptop to every class.