Home A - Z
Page Index

An Otter Wiki

Blame

1c3139 Lucas Gonthier 2026-06-30 12:04:21
Initial commit: course content (Machine Learning, MLOps) in EN and FR Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
1 
# Cours ML & MLOps
2
e0287e lugonthier 2026-07-02 15:52:15
Add new content and images for machine learning and mathematics modules - Added images for regularization and high-dimensional inference. - Introduced Support Vector Machines (SVM) module with detailed explanations and images. - Created Decision Trees and Ensemble Methods module with comprehensive content and illustrations. - Added a Mathematics overview module and a refresher on mathematical concepts essential for machine learning. - Included SVG diagrams for Bayes' rule and multivariate Gaussian distribution.
3
Quatre cours couvrant les mathématiques du machine learning, les méthodes de ML et de deep learning,
4
et la mise en production des modèles. Utilisez les drapeaux en haut de la page pour changer de langue.
1c3139 Lucas Gonthier 2026-06-30 12:04:21
Initial commit: course content (Machine Learning, MLOps) in EN and FR Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
5
6
## Cours
7
e0287e lugonthier 2026-07-02 15:52:15
Add new content and images for machine learning and mathematics modules - Added images for regularization and high-dimensional inference. - Introduced Support Vector Machines (SVM) module with detailed explanations and images. - Created Decision Trees and Ensemble Methods module with comprehensive content and illustrations. - Added a Mathematics overview module and a refresher on mathematical concepts essential for machine learning. - Included SVG diagrams for Bayes' rule and multivariate Gaussian distribution.
8
- [Mathematics](/fr/Mathematics) : l'algèbre linéaire et les probabilités sur lesquelles reposent les cours.
1c3139 Lucas Gonthier 2026-06-30 12:04:21
Initial commit: course content (Machine Learning, MLOps) in EN and FR Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
9
- [Machine Learning](/fr/Machine%20Learning) : les fondements du ML, des données aux modèles.
36084c lugonthier 2026-07-02 14:39:19
Add new content and images for Linear Models, Regularization, SVMs, and Decision Trees - Added images for linear regression, logistic regression, and perceptron. - Introduced a new section on Regularization and High-Dimensional Inference with detailed explanations and images. - Added content on Support Vector Machines, including definitions, loss functions, and kernel methods. - Created a new section on Decision Trees and Ensemble Methods, covering CART, bagging, random forests, and boosting. - Included relevant images to illustrate concepts in Decision Trees and Ensemble Methods.
10
- [Deep Learning](/fr/Deep%20Learning) : les réseaux de neurones, du perceptron aux transformeurs.
1c3139 Lucas Gonthier 2026-06-30 12:04:21
Initial commit: course content (Machine Learning, MLOps) in EN and FR Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
11
- [MLOps](/fr/MLOps) : mettre les systèmes de ML en production et les maintenir.