MATH 8875 Topics in Deep Learning Theory
Topics course in mathematical aspects of machine learning. The course will begin with an introduction to statistical learning theory and some classical supervised and unsupervised learning algorithms, then survey some motivating modern questions in deep learning theory, with an emphasis on how geometry, topology, and combinatoricsenter the mathematical picture.
Course overview
- Department
- Mathematics
- School
- MCAS
- Credits
- 3
- Level
- Graduate
Course evaluations
- Course rating
- 4.75 / 5 · Excellent
- Instructor rating
- 4.81 / 5 · Excellent
- Terms evaluated
- 2
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Kathryn Lindsey | 5.0 | 5.0 | 4.5 | 4.5 | 4.5 | 5.0 | 4.5 | 4.5 | 1–3 hrs/week | 2 of 5 |
| Fall 2023 | Julia Grigsby | — | — | — | — | — | — | — | — | — | 6 of 11 |