Informations
Cours
English
Français
Informations
Générales
Description
Plan
Évaluations
MCQ
Matériel
Cours
Modules
01 - Introduction
02 - Révisions
Linear Algebra
Probabilities and Statistics
Programming
03 - Généralités
Data analysis project
Spaces
Distances
Bias/Variance
Models evaluation
04 - Dimension
Principal components analysis
Correspondence analysis
Multiple correspondence analysis
05 - Supervisée
Discriminant
Tree
Ensemble
06 - Non-supervisée
Hierarchical
\(k\)
-means
Gaussian mixtures
07 - Éthique
08 - Conclusion
Other Formats
PDF
Informations
Cours
Classes
Here are the recording of the classes for the semester Autumn 2025:
Class of 02 september 2025:
link
.
Matériel
01 - Introduction