Machine Learning - blame (e0287e)

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>

# Machine Learning

Foundations of machine learning: how to go from raw data to a trained, evaluated model.

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.

**Prerequisites:** basic Python and the [Mathematics](/en/Mathematics) course (linear algebra, probability, statistics).

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>

## Syllabus

1. [Introduction](/en/Machine%20Learning/01%20Introduction)

2. [General concepts](/en/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.

3. [Model evaluation and validation](/en/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.

4. [Probabilistic formulation](/en/Machine%20Learning/04%20Probabilistic%20formulation)

5. [Linear regression](/en/Machine%20Learning/05%20Linear%20regression)

6. [Linear classification](/en/Machine%20Learning/06%20Linear%20classification)

7. [Regularization and high-dimensional inference](/en/Machine%20Learning/07%20Regularization%20and%20high-dimensional%20inference)

8. [Support Vector Machines](/en/Machine%20Learning/08%20Support%20Vector%20Machines)

9. [Decision trees and ensemble methods](/en/Machine%20Learning/09%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>

---

1a0e72	lugonthier	2026-07-01 15:43:09
Update navigation links for consistency in English and French MLOps and Machine Learning documents

[MLOps](/en/MLOps) · [Home](/en)