CSE 6363 - Machine Learning
⭓Description
This is the course page for CSE 6363 - Machine Learning in Spring 2025. 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 |
|---|---|---|
| MoWe | 1PM - 2PM | ERB 556A |
| TuTh | 3PM - 4PM | ERB 556A |
| Fri | 9AM - 10AM | Teams |
Teaching Assistant
- Mengliang Zhang (mxz3935 (at) mavs (dot) uta (dot) edu)
Office Hours
TBD
⭓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.
Resources
⭓Schedule
This schedule is tentative and may change.
| Date | Topic | Materials |
|---|---|---|
| June 2 | Course Introcuction, Supervised Learning | |
| June 4 | Supervised Learning, Logistic Regression, HW1 Out, Quiz 1 |