<aside> 📕

Algèbre linéaire

Probabilités

</aside>

<aside> 📘

Apprentissage statistique

Inférence causale

Séries temporelles

</aside>

<aside> 📗

Livres

→ Probabilités / statistiques

• All of Statistics - Larry Wasserman : Link
• Mathematical Statistics and Data Analysis - John Rice : Link
• Multivariate Analysis - Kanti Mardia : Link
• Essential Math for Data Science - Thomas Nield : Link
• Statistics for Applications - MIT : Link
• Bayesian Essentials - Christian Robert : Link
• Introduction to Bayesian statistics - William Bolstad : Link

→ Algèbre linéaire

• Introduction to Linear Algebra - Gilbert Strang : Link
• Linear Algebra Course - MIT : Link

→ Apprentissage statistique & Machine learning

• Intro to Statistical Learning - Gareth James : Link
• Elements of Statistical Learning - Trevor Hastie : Link
• Mathematics for artificial intelligence - MIT : Link
• Machine learning course - Stanford : Link

→ Séries temporelles

• Time series analysis and its applications - Robert Shumway : Link
• Introductory time series - Andrew Metcalfe : Link

→ Inférence causale

• The book of why - Judea Pearl : Link
• Introduction to Causal Inference - Brady Neal : Link
• Quasi Experiementation - Charles Reichardt : Link
• Causal Inference in Statistics - Judea Pearl : Link
• Causality : Models, Reasoning and Inference - Judea Pearl : Link
• Element of Causal Inference - Jonas Peters : Link </aside>