Teaching

Oprimization for datascience, 2022

Good reference with prerequisites : https://mml-book.github.io/ (main focus on chapter 5, lots of important things in chapters 2, 3, 4)

Reference for the course : https://web.stanford.edu/~boyd/cvxbook/

  1. Introduction / algebra reminders / calculus reminders / exercices
  2. Gradient descent
  3. Proximal Gradient descent

Machine learning and python, 2020

  1. Python introduction and Machine learning successes
  2. Introduction to machine learning
  3. Linear regression and Scikit-learn
  4. Neural networks