Mathematics for Machine Learning

Companion webpage to the book "Mathematics for Machine Learning". Copyright 2020 by Marc Peter Deisenroth, A. Aldo Faisal, and Cheng Soon Ong. Published by Cambridge University Press.

View the Project on GitHub

There and Back Again: A Tale of Slopes and Expectations

Marc Deisenroth and Cheng Soon Ong

07 December 2020, NeurIPS 2020 tutorial NeurIPS link

An introduction to integration and differentiation

Draft notes covering the same topics as the videos below will be available on arxiv soon.

Video on slideslive

One single playlist

  1. Overview video
  2. Introduction to Integration video slides
  3. Numerical Integration video slides
  4. Monte Carlo Integration video slides
  5. Normalizing Flows video slides
  6. Inference in Time Series video slides
  7. Backpropagation and Automatic Differentiation video slides
  8. Forward Backward Algorithm video slides
  9. Implicit Function Theorem video slides
  10. Method of Adjoints video slides
  11. Method of Lagrange video slides
  12. Stochastic Gradient Estimators video slides

map of calculus island