Teaching:adam-oberman.github.io/Lectures/

• Winter 2022: Math 562/Comp 562: Theory of Machine Learning (graduate course).
• Fall 2021: Math 462, Honours Math for Machine Learning  (undergraduate course)
  
• Winter 2021: Math 579 Numerical PDEs (refer to mycourses webpage)
• Fall 2020: MATH 597 Topics in Applied Math: Mathematics of Machine Learning.   Crosslisted with COMP 599, refer to https://www.cs.mcgill.ca/~prakash/Courses/599/comp599.html for course materials (and to MyCourses). Geared towards graduate students, and theory and  research oriented undergraduate students. This is a ML theory course, on generalization.