Attachments
| Thumbail | Filename | Size | Date | Author | Comment | |
|---|---|---|---|---|---|---|
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cross-validation.svg |
4.8KiB | 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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curse-dimensionality.png |
40.8KiB | 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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loss-functions.png |
45.8KiB | 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> | |
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polynomial-fits.png |
54.3KiB | 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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regression-metrics.png |
44.3KiB | 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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roc-pr-curves.png |
50.0KiB | 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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threshold-metrics.png |
41.7KiB | 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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time-series-cv.svg |
5.0KiB | 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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train-vs-validation.png |
43.3KiB | 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. |
