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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>
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# Machine Learning
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Les fondements du machine learning : passer de données brutes à un modèle entraîné et évalué.
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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.
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**Prérequis :** Python de base et le cours [Mathematics](/fr/Mathematics) (algèbre linéaire, probabilités, statistiques).
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>
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## Programme
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1. [Introduction](/fr/Machine%20Learning/01%20Introduction)
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2. [Concepts généraux](/fr/Machine%20Learning/02%20General%20concepts)
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.
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3. [Évaluation et validation des modèles](/fr/Machine%20Learning/03%20Model%20evaluation%20and%20validation)
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.
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4. [Formulation probabiliste](/fr/Machine%20Learning/04%20Probabilistic%20formulation)
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5. [Régression linéaire](/fr/Machine%20Learning/05%20Linear%20regression)
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6. [Classification linéaire](/fr/Machine%20Learning/06%20Linear%20classification)
a3ddd0 lugonthier 2026-07-02 17:23:32
Refactor Machine Learning module structure and content - Swapped the order of "Réseaux de neurones multi-couches" and "Régularisation et inférence en grande dimension" in the main Machine Learning index. - Updated references in "Régression linéaire" to point to the correct module for regularization. - Changed the next module reference in "Classification linéaire" to "Régularisation et inférence en grande dimension". - Added new module "Régularisation et inférence en grande dimension" with detailed explanations of ridge and lasso regression, including their mathematical formulations and implications for model selection. - Included visual aids for L1 and L2 regularization paths. - Introduced new module "Réseaux de neurones multi-couches" covering the architecture and training of multi-layer neural networks, emphasizing the importance of non-linearity and activation functions. - Added visual representations for neural network layers and backpropagation process.
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7. [Régularisation et inférence en grande dimension](/fr/Machine%20Learning/07%20Regularization%20and%20high-dimensional%20inference)
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8. [Réseaux de neurones multi-couches](/fr/Machine%20Learning/08%20Multilayer%20neural%20networks)
17beab lugonthier 2026-07-02 16:43:49
Add French translations for Regularization, Support Vector Machines, and Decision Trees modules - Created "08 Regularization and high-dimensional inference.md" with detailed explanations on regularization techniques including ridge, lasso, and elastic net. - Added images for L1 and L2 geometry and regularization path. - Created "09 Support Vector Machines.md" covering SVM concepts, including margin, loss functions, kernels, and duality. - Added images for SVM margin and kernel decision boundaries. - Created "10 Decision trees and ensemble methods.md" explaining decision trees, random forests, and boosting techniques. - Added images for decision tree boundaries and forest vs tree comparison.
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9. [Machines à vecteurs de support](/fr/Machine%20Learning/09%20Support%20Vector%20Machines)
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10. [Arbres de décision et méthodes d'ensemble](/fr/Machine%20Learning/10%20Decision%20trees%20and%20ensemble%20methods)
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>
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1a0e72 lugonthier 2026-07-01 15:43:09
Update navigation links for consistency in English and French MLOps and Machine Learning documents
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[MLOps](/fr/MLOps) · [Accueil](/fr)