Teaching

EFREI Engineering School

Machine Learning.
- From 2016 to 2022: Course materials . I had the honor to win the pedagogical innovation prize for this course link .
Machine Learning et Scoring de Crédit: MOOC in collaboration with Vivien Brunel on FUN: Youtube Playlist .
Statistique Inférentielle.
- Fall 2020-2021: Course materials .
Complément de formation Statistique.
- Fall 2020-2021: Course materials .
- Fall 2018-2019:
  - Discrete Random Variables: .
  - Continuous Random Variables: .
  - Exercises: .
  - Normal Distribution Table: .
Probabilités numériques (Monte Carlo methods).
- Fall 2019-2020: Correction of the exercises (was fun to construct these slide live in class using Xaringan and Infinite Moon Reader link ).
- Fall 2018-2019: Correction of the exercises link .
Probabilities & Statistics.
- Spring 16-17:
  - Discrete Random Variables: 1 , 2 .
  - Continuous Random Variables: .
  - Slides on Continuous Random Variables: .
  - Exercises: 1 , 2 .
- - Fall 16-17
  - Spring 15-16
  - Fall 15-16
  - Spring 14-15
Statistical inference.
- Fall 15-16 .
Descriptive Statistics.
- Fall 16-17 .