STAT/CSE 542 Statistical Learning

Lecture: 10:00 - 10:50 AM MWF, 161 Noyes Laboratory

Office Hours: Mon 1:30 - 2:30 PM, Wed 2:30 - 3:30 PM or by appointment

TA: Changbo Zhu (changbo2@illinois.edu)

Syllabus: [PDF]

Textbook:

(HTF) Hastie, H., Tibshirani, R. & Friedman, J., The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer. (PDF)

Announcement:

Welcome to STAT/CSE 542. We use Piazza for discussion and Compass2g for posting/submitting homework and grades.

Homework 1 posted. Due date Feb 9, 5pm.

Homework 2 posted. Due date Feb 23, 5pm.

Homework 3 posted. Due date Mar 16, 5pm.

Homework 4 posted. Due date Apr 6, 5pm.

Course Schedule:

Other useful information:

We will use R as our main programming language. You should also consider using RStudio and its R Markdown feature to generate homework reports.

R Markdown examples for generating reports: Sample.Rmd Sample.pdf