Machine Learning - blame (36084c)

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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>

# Machine Learning

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

**Prerequisites:** basic Python, basic linear algebra and statistics.

## 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)

4. [Linear models](/en/Machine%20Learning/04%20Linear%20models)

5. [Regularization and high-dimensional inference](/en/Machine%20Learning/05%20Regularization%20and%20high-dimensional%20inference)

6. [Support Vector Machines](/en/Machine%20Learning/06%20Support%20Vector%20Machines)

7. [Decision trees and ensemble methods](/en/Machine%20Learning/07%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

[MLOps](/en/MLOps) · [Home](/en)