Teaching: list of courses

This course (in French) is mostly about supervised techniques in Machine Learning. Details can be found here HMMA308 - Machine Learning.

This is an undergraduate course (partly in French!) introducing advanced linear models (Anova, Mixed-effects models, etc.). Details can be found here: HMMA307 - Modèles Linéaires Avancés.

This is an undergraduate course (in French!) introducing Python for scientifc computing. Details can be found here: HLMA310 - Scientific Python.

This is an undergraduate course (in French!) introducing statistics and data visualisation. Details can be found here: HLMA408 - Data science for ecology.

This is an undergraduate course (in French!) introducing advanced time series analysis. Details can be found here: HMMA237 - Advanced time series.

This is an undergraduate course (in French!) introducing scientific computings and modern software practices. Details can be found here: HMMA238 - Scientific software dev.

This contains Master 2 exercices on statistical learning. Details can be found here: M2MO - Machine Learning.

This is an undergrade course on linear models. Details can be found here: SD204 - linear models.

This is a grade course on robust statistics and optimization. Details can be found here: STAT593 - Robust statistics.

This course is in French, and deals with Linear Models. Details can be found here MDI720 - Modèles linéaires.

This is a master Master 2 course on Machine learning we gave with Zaid Harchaoui, Julien Mairal and Laurent Jacob; details are here CR12 - Machine Learning (2014-2015) and CR12 - Machine Learning (2013-2014).

This is an undergraduate course (in French) on descriptive statistics; Details can be found here: SD3 - Statistiques Descriptives.

This course is in French, and deals with Machine Learning. Details can be found here: M53010 - Économétrie.