CMOR 529: MATHMTCL THRY OF DP LEARNING
Spring 2027 · Section 001 · CRN 26646
This graduate course introduces the mathematical foundations of modern machine learning for graduate students in applied mathematics. Emphasis is placed on rigorous theory rather than implementation, covering topics such as generative models, neural operators, transformers, and foundation models, with connections to analysis, PDEs, dynamical systems, and geometry.
- Credits
- 3
- Instructors
- Maarten de Hoop