CSE 4309 - Fundamentals of Machine Learning
⭓Description
This is the course page for CSE 4309 - Fundamentals of Machine Learning in Spring 2026. Here you’ll find class notes and other helpful resources. All assignments and announcements will be posted on Canvas.
Instructor Office Hours
| Days | Time | Location |
|---|---|---|
| MoWeFri | 12PM - 1PM | ERB 556A |
| TuTh | 12PM - 1PM | Teams |
Teaching Assistant
Mengliang Zhang (mxz3935@mavs.uta.edu)
Office Hours Tuesday 2:00PM - 6:00PM in ERB 320
⭓Course Materials
Books
- Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer, 2006.
- Trevor Hastie, Robert Tibshirani, and Jerome Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer, 2009.
- Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani, An Introduction to Statistical Learning, Springer, 2023.
- Kevin Murphy, Probabilistic Machine Learning: An Introduction, MIT Press, 2022.
Papers
Resources
⭓Schedule
This schedule is tentative and may change.
| Date | Topic | Materials |
|---|---|---|
| January 12 | Course Introduction |
|
| January 14 | Supervised Learning |