History
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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 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. |