Statistics · Fall 2026
SDSU STAT 585 — Statistical Machine Learning
Supervised learning regression and classification models, model shrinkage and regularization methods, unsupervised learning models, text mining, data and model visualization with R or Python. Topics of current interest.
Course requirements
Prerequisites: STAT 551B and CS 150 or graduate standing.
- STAT 551B and CS 150 or graduate standing.
Fall 2026 enrollment options
Seat status can change| Class # | Format | Status | Seats | Time | Location | Professor | RateMyProfessors |
|---|---|---|---|---|---|---|---|
| 10894 Discussion | Hybrid | Open | 20 / 30 | Mon/Wed 4:00 PM–5:15 PM | E 300 | Victoria Delaney | 5.0/5 · 1 review Difficulty 4.0 · 100% take again |