Modules
02 - Révisions
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Informations
Générales
Description
Plan
Évaluations
Matériel
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
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Modules
02 - Révisions
Remainders
Outline
Linear algebra
Probabilities and statistics
Algorithmic / Programming
Prediction (
xkcd:2370
).
01 - Introduction
Linear Algebra
