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Alexis BAYLET 265401d85c
Add RKHS document with kernel definition and reproducing kernel explanation
2026-03-27 14:37:36 +01:00
.gitignore first commit 2026-03-21 23:35:45 +01:00
ch0.pdf Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
ch0.tex Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
ch1.pdf Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
ch1.tex Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
ch2.pdf Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
ch2.tex Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
ch3.pdf Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
ch3.tex Add initial chapters on statistical estimation and regression 2026-03-21 23:45:07 +01:00
main.pdf Add main LaTeX document for statistical learning course 2026-03-21 23:56:01 +01:00
main.tex Add main LaTeX document for statistical learning course 2026-03-21 23:56:01 +01:00
README.md Add README file with course structure and resources 2026-03-21 23:49:03 +01:00
RKHS.md Add RKHS document with kernel definition and reproducing kernel explanation 2026-03-27 14:37:36 +01:00

README.md

APM_4AI09 - Statistiques

Chapitre Titre du cours Supports (PDF) Sources (TeX)
Ch. 0 Introduction à l'Estimation Statistique 📄 ch0.pdf 🛠 ch0.tex
Ch. 1 Estimation de Densité Non-Paramétrique 📄 ch1.pdf 🛠 ch1.tex
Ch. 2 Théorie de la Régression 📄 ch2.pdf 🛠 ch2.tex
Ch. 3 Les réseaux de neurones comme approximateurs 📄 ch3.pdf 🛠 ch3.tex