History
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2026-07-28 13:29:31 81a3ca | lugonthier | slide 01 |
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2026-07-15 12:37:13 6b31d5 | lugonthier | feat: Update "Decision trees and ensemble methods" module with new content and visuals - Revamped the introduction to ensemble methods, emphasizing the benefits of combining models. - Expanded sections on decision trees, bagging, and boosting, including detailed explanations and formulas. - Added new SVG diagrams illustrating the bagging process, the transition from stumps to trees, and variance reduction. - Introduced new images for AdaBoost rounds and variance reduction to enhance understanding. |
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2026-07-10 12:03:30 0ad9b6 | lugonthier | Remove "07 Regularization and high-dimensional inference" chapter and add "07 Support Vector Machines" and "08 Decision trees and ensemble methods" chapters with corresponding images. |
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2026-07-02 16:43:49 17beab | lugonthier | 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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2026-07-02 15:52:15 e0287e | lugonthier | 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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2026-07-02 14:39:19 36084c | lugonthier | 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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2026-07-01 14:24:01 d5b8b5 | lugonthier | Refactor section headings for consistency and clarity across multiple documents in the Machine Learning module. Updated headings to include numerical prefixes for better organization and navigation. Adjusted content formatting and improved terminology in French translations for decision trees, ensemble methods, and other foundational concepts. |
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2026-06-30 12:04:21 1c3139 | Lucas Gonthier | Initial commit: course content (Machine Learning, MLOps) in EN and FR Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com> |