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2026-07-28 13:29:31 81a3ca lugonthier en/Machine Learning en/Machine Learning/02 General concepts en/Machine Learning/05 Linear classification en/Machine Learning/06 Multilayer neural networks en/Machine Learning/07 Decision trees and ensemble methods en/Machine Learning/07 Decision trees and ensemble methods/adaboost-rounds.png en/Machine Learning/07 Decision trees and ensemble methods/bagging-pipeline.svg en/Machine Learning/07 Decision trees and ensemble methods/forest-vs-tree.png en/Machine Learning/07 Decision trees and ensemble methods/tree-boundary.png en/Machine Learning/07 Decision trees and ensemble methods/tree-from-stumps.svg en/Machine Learning/07 Decision trees and ensemble methods/variance-reduction.png en/Machine Learning/07 Support Vector Machines en/Machine Learning/07 Support Vector Machines/svm-kernel.png en/Machine Learning/07 Support Vector Machines/svm-margin.png fr/Machine Learning fr/Machine Learning/02 General concepts fr/Machine Learning/05 Linear classification fr/Machine Learning/06 Multilayer neural networks fr/Machine Learning/07 Decision trees and ensemble methods fr/Machine Learning/07 Decision trees and ensemble methods/adaboost-rounds.png fr/Machine Learning/07 Decision trees and ensemble methods/bagging-pipeline.svg fr/Machine Learning/07 Decision trees and ensemble methods/forest-vs-tree.png fr/Machine Learning/07 Decision trees and ensemble methods/tree-boundary.png fr/Machine Learning/07 Decision trees and ensemble methods/tree-from-stumps.svg fr/Machine Learning/07 Decision trees and ensemble methods/variance-reduction.png fr/Machine Learning/07 Support Vector Machines fr/Machine Learning/07 Support Vector Machines/svm-kernel.png fr/Machine Learning/07 Support Vector Machines/svm-margin.png slide 01
2026-07-24 11:49:19 12d21f lugonthier en/Deep Learning en/Deep Learning/01 Introduction en/Deep Learning/02 Activation functions en/Deep Learning/02 Activation functions/activation-choice.svg en/Deep Learning/02 Activation functions/activation-derivatives.png en/Deep Learning/02 Activation functions/activation-functions.png en/Deep Learning/02 Multilayer perceptron en/Deep Learning/02 Multilayer perceptron/mlp-forward.svg en/Deep Learning/02 Multilayer perceptron/universal-approximation.png en/Deep Learning/03 Optimization en/Deep Learning/03 Optimization/lr-schedules.png en/Deep Learning/03 Optimization/optimizer-family.svg en/Deep Learning/03 Optimization/optimizer-paths.png en/Deep Learning/03 Optimization/ravine-momentum.svg en/Deep Learning/04 Loss functions and output layers en/Deep Learning/04 Loss functions and output layers/loss-curves.png en/Deep Learning/04 Loss functions and output layers/output-loss-map.svg en/Deep Learning/04 Training deep networks en/Deep Learning/04 Training deep networks/batchnorm-vs-layernorm.svg en/Deep Learning/04 Training deep networks/dropout-network.svg en/Deep Learning/04 Training deep networks/gradient-flow.png en/Deep Learning/05 Backpropagation en/Deep Learning/05 Backpropagation/backprop-steps.svg en/Deep Learning/05 Backpropagation/computational-graph.svg en/Deep Learning/05 Convolutional networks en/Deep Learning/05 Convolutional networks/cnn-stack.svg en/Deep Learning/05 Convolutional networks/conv-pipeline.svg en/Deep Learning/05 Convolutional networks/convolution.svg en/Deep Learning/05 Convolutional networks/dense-vs-conv.svg en/Deep Learning/05 Convolutional networks/pooling.svg en/Deep Learning/05 Convolutional networks/stride-padding.svg en/Deep Learning/06 Embeddings and representation learning en/Deep Learning/06 Embeddings and representation learning/embedding-lookup.svg en/Deep Learning/06 Embeddings and representation learning/embedding-space.png en/Deep Learning/06 Embeddings and representation learning/skipgram.svg en/Deep Learning/07 Initialization and vanishing gradients en/Deep Learning/07 Initialization and vanishing gradients/init-reasoning.svg en/Deep Learning/07 Recurrent networks en/Deep Learning/07 Recurrent networks/bptt-decay.png en/Deep Learning/07 Recurrent networks/rnn-motivation.svg en/Deep Learning/07 Recurrent networks/rnn-unrolled.svg en/Deep Learning/08 LSTM and GRU en/Deep Learning/08 LSTM and GRU/gru-cell.svg en/Deep Learning/08 LSTM and GRU/gru-step1.svg en/Deep Learning/08 LSTM and GRU/lstm-cell.svg en/Deep Learning/08 LSTM and GRU/lstm-step1.svg en/Deep Learning/08 LSTM and GRU/lstm-step2.svg en/Deep Learning/08 Normalization en/Deep Learning/08 Normalization/norm-placement.svg en/Deep Learning/08 Normalization/normalization-effect.png en/Deep Learning/09 Attention en/Deep Learning/09 Attention/attention-heatmap.png en/Deep Learning/09 Attention/attention-step1.svg en/Deep Learning/09 Attention/attention-step2.svg en/Deep Learning/09 Attention/attention-weights.svg en/Deep Learning/09 Attention/seq2seq-bottleneck.svg en/Deep Learning/09 Regularization and dropout en/Deep Learning/09 Regularization and dropout/overfitting-curves.png en/Deep Learning/10 Convolutional networks/residual-block.svg en/Deep Learning/10 Transformers en/Deep Learning/10 Transformers/positional-encoding.png en/Deep Learning/10 Transformers/selfattention-matrices.svg en/Deep Learning/10 Transformers/selfattention-step1.svg en/Deep Learning/10 Transformers/transformer-block.svg en/Deep Learning/10 Transformers/transformer-stack.svg en/Deep Learning/10 Transformers/transformer-step1.svg en/Deep Learning/10 Transformers/transformer-step2.svg en/Deep Learning/10 Transformers/transformer-step3.svg en/Deep Learning/13 LSTM and GRU/gru-cell.svg en/Deep Learning/13 LSTM and GRU/lstm-cell.svg en/Deep Learning/14 Attention/attention-weights.svg en/Deep Learning/15 Transformers/transformer-block.svg en/MLOps/01 Introduction en/Machine Learning/05 Linear classification en/Machine Learning/06 Multilayer neural networks en/Machine Learning/06 Multilayer neural networks/activations.png en/Mathematics/01 Mathematical refresher fr/Deep Learning fr/Deep Learning/01 Introduction fr/Deep Learning/02 Activation functions fr/Deep Learning/02 Activation functions/activation-choice.svg fr/Deep Learning/02 Activation functions/activation-derivatives.png fr/Deep Learning/02 Activation functions/activation-functions.png fr/Deep Learning/02 Multilayer perceptron fr/Deep Learning/02 Multilayer perceptron/mlp-forward.svg fr/Deep Learning/02 Multilayer perceptron/universal-approximation.png fr/Deep Learning/03 Optimization fr/Deep Learning/03 Optimization/lr-schedules.png fr/Deep Learning/03 Optimization/optimizer-family.svg fr/Deep Learning/03 Optimization/optimizer-paths.png fr/Deep Learning/03 Optimization/ravine-momentum.svg fr/Deep Learning/04 Loss functions and output layers fr/Deep Learning/04 Loss functions and output layers/loss-curves.png fr/Deep Learning/04 Loss functions and output layers/output-loss-map.svg fr/Deep Learning/04 Training deep networks fr/Deep Learning/04 Training deep networks/batchnorm-vs-layernorm.svg fr/Deep Learning/04 Training deep networks/dropout-network.svg fr/Deep Learning/04 Training deep networks/gradient-flow.png fr/Deep Learning/05 Backpropagation fr/Deep Learning/05 Backpropagation/backprop-steps.svg fr/Deep Learning/05 Backpropagation/computational-graph.svg fr/Deep Learning/05 Convolutional networks fr/Deep Learning/05 Convolutional networks/cnn-stack.svg fr/Deep Learning/05 Convolutional networks/conv-pipeline.svg fr/Deep Learning/05 Convolutional networks/convolution.svg fr/Deep Learning/05 Convolutional networks/dense-vs-conv.svg fr/Deep Learning/05 Convolutional networks/pooling.svg fr/Deep Learning/05 Convolutional networks/stride-padding.svg fr/Deep Learning/06 Embeddings and representation learning fr/Deep Learning/06 Embeddings and representation learning/embedding-lookup.svg fr/Deep Learning/06 Embeddings and representation learning/embedding-space.png fr/Deep Learning/06 Embeddings and representation learning/skipgram.svg fr/Deep Learning/07 Initialization and vanishing gradients fr/Deep Learning/07 Initialization and vanishing gradients/init-reasoning.svg fr/Deep Learning/07 Recurrent networks fr/Deep Learning/07 Recurrent networks/bptt-decay.png fr/Deep Learning/07 Recurrent networks/rnn-motivation.svg fr/Deep Learning/07 Recurrent networks/rnn-unrolled.svg fr/Deep Learning/08 LSTM and GRU fr/Deep Learning/08 LSTM and GRU/gru-cell.svg fr/Deep Learning/08 LSTM and GRU/gru-step1.svg fr/Deep Learning/08 LSTM and GRU/lstm-cell.svg fr/Deep Learning/08 LSTM and GRU/lstm-step1.svg fr/Deep Learning/08 LSTM and GRU/lstm-step2.svg fr/Deep Learning/08 Normalization fr/Deep Learning/08 Normalization/norm-placement.svg fr/Deep Learning/08 Normalization/normalization-effect.png fr/Deep Learning/09 Attention fr/Deep Learning/09 Attention/attention-heatmap.png fr/Deep Learning/09 Attention/attention-step1.svg fr/Deep Learning/09 Attention/attention-step2.svg fr/Deep Learning/09 Attention/attention-weights.svg fr/Deep Learning/09 Attention/seq2seq-bottleneck.svg fr/Deep Learning/09 Regularization and dropout fr/Deep Learning/09 Regularization and dropout/overfitting-curves.png fr/Deep Learning/10 Convolutional networks/residual-block.svg fr/Deep Learning/10 Transformers fr/Deep Learning/10 Transformers/positional-encoding.png fr/Deep Learning/10 Transformers/selfattention-matrices.svg fr/Deep Learning/10 Transformers/selfattention-step1.svg fr/Deep Learning/10 Transformers/transformer-block.svg fr/Deep Learning/10 Transformers/transformer-stack.svg fr/Deep Learning/10 Transformers/transformer-step1.svg fr/Deep Learning/10 Transformers/transformer-step2.svg fr/Deep Learning/10 Transformers/transformer-step3.svg fr/Deep Learning/13 LSTM and GRU/gru-cell.svg fr/Deep Learning/13 LSTM and GRU/lstm-cell.svg fr/Deep Learning/14 Attention/attention-weights.svg fr/Deep Learning/15 Transformers/transformer-block.svg fr/MLOps/01 Introduction fr/Machine Learning/05 Linear classification fr/Machine Learning/06 Multilayer neural networks fr/Machine Learning/06 Multilayer neural networks/activations.png fr/Mathematics/01 Mathematical refresher Remove unused SVG files and update Markdown content for clarity and accuracy in MLOps and Machine Learning modules. Adjust references to optimization techniques and activation functions, and enhance explanations in the mathematical refresher section.
2026-07-15 12:37:13 6b31d5 lugonthier en/Deep Learning en/Deep Learning/01 Introduction en/Deep Learning/02 Multilayer perceptron en/Deep Learning/03 Activation functions en/Deep Learning/06 Optimization en/Deep Learning/10 Convolutional networks en/Deep Learning/10 Convolutional networks/cnn-stack.svg en/Deep Learning/10 Convolutional networks/residual-block.svg en/Deep Learning/11 CNN architectures en/Deep Learning/11 Embeddings and representation learning en/Deep Learning/11 Embeddings and representation learning/embedding-lookup.svg en/Deep Learning/11 Embeddings and representation learning/embedding-space.png en/Deep Learning/11 Embeddings and representation learning/skipgram.svg en/Deep Learning/12 Recurrent networks en/Deep Learning/12 Recurrent networks/bptt-decay.png en/Deep Learning/12 Recurrent networks/rnn-unrolled.svg en/Deep Learning/13 LSTM and GRU en/Deep Learning/13 LSTM and GRU/gru-cell.svg en/Deep Learning/13 LSTM and GRU/lstm-cell.svg en/Deep Learning/14 Attention en/Deep Learning/14 Attention/attention-heatmap.png en/Deep Learning/14 Attention/attention-weights.svg en/Deep Learning/14 Attention/seq2seq-bottleneck.svg en/Deep Learning/15 Transformers en/Deep Learning/15 Transformers/positional-encoding.png en/Deep Learning/15 Transformers/transformer-block.svg en/Deep Learning/15 Transformers/transformer-stack.svg en/Machine Learning/01 Introduction en/Machine Learning/01 Introduction/ml-workflow.svg en/Machine Learning/02 General concepts en/Machine Learning/02 General concepts/regression-metrics.png en/Machine Learning/02 General concepts/roc-pr-curves.png en/Machine Learning/02 General concepts/threshold-metrics.png en/Machine Learning/03 Probabilistic formulation en/Machine Learning/04 Linear regression en/Machine Learning/04 Linear regression/ideal-vs-noisy.png en/Machine Learning/04 Linear regression/l1-l2-geometry.png en/Machine Learning/04 Linear regression/regularization-path.png en/Machine Learning/05 Linear classification en/Machine Learning/05 Linear classification/hyperplane.svg en/Machine Learning/05 Linear classification/logistic-neuron.svg en/Machine Learning/05 Linear classification/multiclass-neuron.svg en/Machine Learning/05 Linear classification/perceptron-neuron.svg en/Machine Learning/05 Linear classification/softmax-neuron.svg en/Machine Learning/06 Multilayer neural networks en/Machine Learning/06 Multilayer neural networks/forward-notation.svg en/Machine Learning/06 Multilayer neural networks/logreg-network.svg en/Machine Learning/06 Multilayer neural networks/make-it-deep.svg en/Machine Learning/06 Multilayer neural networks/mlp-layers.svg en/Machine Learning/07 Support Vector Machines en/Machine Learning/08 Decision trees and ensemble methods en/Machine Learning/08 Decision trees and ensemble methods/adaboost-rounds.png en/Machine Learning/08 Decision trees and ensemble methods/bagging-pipeline.svg en/Machine Learning/08 Decision trees and ensemble methods/tree-from-stumps.svg en/Machine Learning/08 Decision trees and ensemble methods/variance-reduction.png fr/Deep Learning fr/Deep Learning/01 Introduction fr/Deep Learning/02 Multilayer perceptron fr/Deep Learning/03 Activation functions fr/Deep Learning/06 Optimization fr/Deep Learning/10 Convolutional networks fr/Deep Learning/10 Convolutional networks/cnn-stack.svg fr/Deep Learning/10 Convolutional networks/residual-block.svg fr/Deep Learning/11 CNN architectures fr/Deep Learning/11 Embeddings and representation learning fr/Deep Learning/11 Embeddings and representation learning/embedding-lookup.svg fr/Deep Learning/11 Embeddings and representation learning/embedding-space.png fr/Deep Learning/11 Embeddings and representation learning/skipgram.svg fr/Deep Learning/12 Recurrent networks fr/Deep Learning/12 Recurrent networks/bptt-decay.png fr/Deep Learning/12 Recurrent networks/rnn-unrolled.svg fr/Deep Learning/13 LSTM and GRU fr/Deep Learning/13 LSTM and GRU/gru-cell.svg fr/Deep Learning/13 LSTM and GRU/lstm-cell.svg fr/Deep Learning/14 Attention fr/Deep Learning/14 Attention/attention-heatmap.png fr/Deep Learning/14 Attention/attention-weights.svg fr/Deep Learning/14 Attention/seq2seq-bottleneck.svg fr/Deep Learning/15 Transformers fr/Deep Learning/15 Transformers/positional-encoding.png fr/Deep Learning/15 Transformers/transformer-block.svg fr/Deep Learning/15 Transformers/transformer-stack.svg fr/Machine Learning/01 Introduction fr/Machine Learning/01 Introduction/ml-workflow.svg fr/Machine Learning/02 General concepts fr/Machine Learning/02 General concepts/regression-metrics.png fr/Machine Learning/02 General concepts/roc-pr-curves.png fr/Machine Learning/02 General concepts/threshold-metrics.png fr/Machine Learning/03 Probabilistic formulation fr/Machine Learning/04 Linear regression fr/Machine Learning/04 Linear regression/ideal-vs-noisy.png fr/Machine Learning/04 Linear regression/l1-l2-geometry.png fr/Machine Learning/04 Linear regression/regularization-path.png fr/Machine Learning/05 Linear classification fr/Machine Learning/05 Linear classification/hyperplane.svg fr/Machine Learning/05 Linear classification/logistic-neuron.svg fr/Machine Learning/05 Linear classification/multiclass-neuron.svg fr/Machine Learning/05 Linear classification/perceptron-neuron.svg fr/Machine Learning/05 Linear classification/softmax-neuron.svg fr/Machine Learning/06 Multilayer neural networks fr/Machine Learning/06 Multilayer neural networks/forward-notation.svg fr/Machine Learning/06 Multilayer neural networks/logreg-network.svg fr/Machine Learning/06 Multilayer neural networks/make-it-deep.svg fr/Machine Learning/06 Multilayer neural networks/mlp-layers.svg fr/Machine Learning/07 Support Vector Machines fr/Machine Learning/08 Decision trees and ensemble methods fr/Machine Learning/08 Decision trees and ensemble methods/adaboost-rounds.png fr/Machine Learning/08 Decision trees and ensemble methods/bagging-pipeline.svg fr/Machine Learning/08 Decision trees and ensemble methods/tree-from-stumps.svg fr/Machine Learning/08 Decision trees and ensemble methods/variance-reduction.png 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.
2026-07-10 12:03:30 0ad9b6 lugonthier en/Deep Learning en/Deep Learning/01 Introduction en/Deep Learning/16 Transformers en/Deep Learning/17 Deep learning in practice en/Deep Learning/17 Deep learning in practice/field-map.svg en/Deep Learning/17 Deep learning in practice/transfer-learning.svg en/Machine Learning en/Machine Learning/01 Introduction en/Machine Learning/01 Introduction/ml-workflow.svg en/Machine Learning/01 Introduction/types-of-learning.svg en/Machine Learning/02 General concepts en/Machine Learning/02 General concepts/cross-validation.svg en/Machine Learning/02 General concepts/curse-dimensionality.png en/Machine Learning/02 General concepts/gradient-descent.png en/Machine Learning/02 General concepts/polynomial-fits.png en/Machine Learning/02 General concepts/time-series-cv.svg en/Machine Learning/02 General concepts/train-vs-validation.png en/Machine Learning/03 Model evaluation and validation en/Machine Learning/03 Probabilistic formulation en/Machine Learning/03 Probabilistic formulation/bayes-decision.png en/Machine Learning/03 Probabilistic formulation/entropy.png en/Machine Learning/04 Linear regression en/Machine Learning/04 Linear regression/ideal-vs-noisy.png en/Machine Learning/04 Linear regression/l1-l2-geometry.png en/Machine Learning/04 Linear regression/line-and-plane.png en/Machine Learning/04 Linear regression/regularization-path.png en/Machine Learning/05 Linear classification en/Machine Learning/05 Linear classification/least-squares-outliers.png en/Machine Learning/05 Linear classification/logistic-neuron.svg en/Machine Learning/05 Linear classification/logistic-regression.png en/Machine Learning/05 Linear classification/multiclass-neuron.svg en/Machine Learning/05 Linear classification/perceptron-neuron.svg en/Machine Learning/05 Linear classification/perceptron.png en/Machine Learning/05 Linear regression en/Machine Learning/05 Linear regression/linear-regression.png en/Machine Learning/06 Linear classification en/Machine Learning/06 Multilayer neural networks en/Machine Learning/06 Multilayer neural networks/activations.png en/Machine Learning/06 Multilayer neural networks/backprop.svg en/Machine Learning/06 Multilayer neural networks/mlp-layers.svg en/Machine Learning/07 Regularization and high-dimensional inference en/Machine Learning/07 Support Vector Machines en/Machine Learning/07 Support Vector Machines/svm-kernel.png en/Machine Learning/07 Support Vector Machines/svm-margin.png en/Machine Learning/08 Decision trees and ensemble methods en/Machine Learning/08 Decision trees and ensemble methods/forest-vs-tree.png en/Machine Learning/08 Decision trees and ensemble methods/tree-boundary.png fr/Deep Learning fr/Deep Learning/01 Introduction fr/Deep Learning/16 Transformers fr/Deep Learning/17 Deep learning in practice fr/Deep Learning/17 Deep learning in practice/field-map.svg fr/Deep Learning/17 Deep learning in practice/transfer-learning.svg fr/Machine Learning fr/Machine Learning/01 Introduction fr/Machine Learning/01 Introduction/ml-workflow.svg fr/Machine Learning/01 Introduction/types-of-learning.svg fr/Machine Learning/02 General concepts fr/Machine Learning/02 General concepts/cross-validation.svg fr/Machine Learning/02 General concepts/curse-dimensionality.png fr/Machine Learning/02 General concepts/gradient-descent.png fr/Machine Learning/02 General concepts/polynomial-fits.png fr/Machine Learning/02 General concepts/time-series-cv.svg fr/Machine Learning/02 General concepts/train-vs-validation.png fr/Machine Learning/03 Model evaluation and validation fr/Machine Learning/03 Probabilistic formulation fr/Machine Learning/03 Probabilistic formulation/bayes-decision.png fr/Machine Learning/03 Probabilistic formulation/entropy.png fr/Machine Learning/04 Linear regression fr/Machine Learning/04 Linear regression/ideal-vs-noisy.png fr/Machine Learning/04 Linear regression/l1-l2-geometry.png fr/Machine Learning/04 Linear regression/line-and-plane.png fr/Machine Learning/04 Linear regression/regularization-path.png fr/Machine Learning/05 Linear classification fr/Machine Learning/05 Linear classification/least-squares-outliers.png fr/Machine Learning/05 Linear classification/logistic-neuron.svg fr/Machine Learning/05 Linear classification/logistic-regression.png fr/Machine Learning/05 Linear classification/multiclass-neuron.svg fr/Machine Learning/05 Linear classification/perceptron-neuron.svg fr/Machine Learning/05 Linear classification/perceptron.png fr/Machine Learning/05 Linear regression fr/Machine Learning/05 Linear regression/linear-regression.png fr/Machine Learning/06 Linear classification fr/Machine Learning/06 Multilayer neural networks fr/Machine Learning/06 Multilayer neural networks/activations.png fr/Machine Learning/06 Multilayer neural networks/backprop.svg fr/Machine Learning/06 Multilayer neural networks/mlp-layers.svg fr/Machine Learning/07 Regularization and high-dimensional inference fr/Machine Learning/07 Support Vector Machines fr/Machine Learning/07 Support Vector Machines/svm-kernel.png fr/Machine Learning/07 Support Vector Machines/svm-margin.png fr/Machine Learning/08 Decision trees and ensemble methods fr/Machine Learning/08 Decision trees and ensemble methods/forest-vs-tree.png fr/Machine Learning/08 Decision trees and ensemble methods/tree-boundary.png 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.
2026-07-02 17:23:32 a3ddd0 lugonthier en/Machine Learning en/Machine Learning/05 Linear regression en/Machine Learning/06 Linear classification en/Machine Learning/07 Regularization and high-dimensional inference en/Machine Learning/07 Regularization and high-dimensional inference/l1-l2-geometry.png en/Machine Learning/07 Regularization and high-dimensional inference/regularization-path.png en/Machine Learning/08 Multilayer neural networks en/Machine Learning/08 Multilayer neural networks/activations.png en/Machine Learning/08 Multilayer neural networks/backprop.svg en/Machine Learning/08 Multilayer neural networks/mlp-layers.svg fr/Machine Learning fr/Machine Learning/05 Linear regression fr/Machine Learning/06 Linear classification fr/Machine Learning/07 Regularization and high-dimensional inference fr/Machine Learning/07 Regularization and high-dimensional inference/l1-l2-geometry.png fr/Machine Learning/07 Regularization and high-dimensional inference/regularization-path.png fr/Machine Learning/08 Multilayer neural networks fr/Machine Learning/08 Multilayer neural networks/activations.png fr/Machine Learning/08 Multilayer neural networks/backprop.svg fr/Machine Learning/08 Multilayer neural networks/mlp-layers.svg Refactor Machine Learning module structure and content - Swapped the order of "Réseaux de neurones multi-couches" and "Régularisation et inférence en grande dimension" in the main Machine Learning index. - Updated references in "Régression linéaire" to point to the correct module for regularization. - Changed the next module reference in "Classification linéaire" to "Régularisation et inférence en grande dimension". - Added new module "Régularisation et inférence en grande dimension" with detailed explanations of ridge and lasso regression, including their mathematical formulations and implications for model selection. - Included visual aids for L1 and L2 regularization paths. - Introduced new module "Réseaux de neurones multi-couches" covering the architecture and training of multi-layer neural networks, emphasizing the importance of non-linearity and activation functions. - Added visual representations for neural network layers and backpropagation process.
2026-07-02 16:43:49 17beab lugonthier en/Machine Learning en/Machine Learning/05 Linear regression en/Machine Learning/06 Linear classification en/Machine Learning/07 Multilayer neural networks en/Machine Learning/07 Multilayer neural networks/activations.png en/Machine Learning/07 Multilayer neural networks/backprop.svg en/Machine Learning/07 Multilayer neural networks/mlp-layers.svg en/Machine Learning/08 Regularization and high-dimensional inference en/Machine Learning/08 Regularization and high-dimensional inference/l1-l2-geometry.png en/Machine Learning/08 Regularization and high-dimensional inference/regularization-path.png en/Machine Learning/09 Support Vector Machines en/Machine Learning/09 Support Vector Machines/svm-kernel.png en/Machine Learning/09 Support Vector Machines/svm-margin.png en/Machine Learning/10 Decision trees and ensemble methods en/Machine Learning/10 Decision trees and ensemble methods/forest-vs-tree.png en/Machine Learning/10 Decision trees and ensemble methods/tree-boundary.png fr/Machine Learning fr/Machine Learning/05 Linear regression fr/Machine Learning/06 Linear classification fr/Machine Learning/07 Multilayer neural networks fr/Machine Learning/07 Multilayer neural networks/activations.png fr/Machine Learning/07 Multilayer neural networks/backprop.svg fr/Machine Learning/07 Multilayer neural networks/mlp-layers.svg fr/Machine Learning/08 Regularization and high-dimensional inference fr/Machine Learning/08 Regularization and high-dimensional inference/l1-l2-geometry.png fr/Machine Learning/08 Regularization and high-dimensional inference/regularization-path.png fr/Machine Learning/09 Support Vector Machines fr/Machine Learning/09 Support Vector Machines/svm-kernel.png fr/Machine Learning/09 Support Vector Machines/svm-margin.png fr/Machine Learning/10 Decision trees and ensemble methods fr/Machine Learning/10 Decision trees and ensemble methods/forest-vs-tree.png fr/Machine Learning/10 Decision trees and ensemble methods/tree-boundary.png 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.
2026-07-02 15:52:15 e0287e lugonthier en en/Deep Learning en/Deep Learning/01 Introduction en/Machine Learning en/Machine Learning/03 Model evaluation and validation en/Machine Learning/04 Linear models en/Machine Learning/04 Probabilistic formulation en/Machine Learning/04 Probabilistic formulation/bayes-decision.png en/Machine Learning/04 Probabilistic formulation/entropy.png en/Machine Learning/05 Linear regression en/Machine Learning/05 Linear regression/linear-regression.png en/Machine Learning/06 Linear classification en/Machine Learning/06 Linear classification/logistic-regression.png en/Machine Learning/06 Linear classification/perceptron.png en/Machine Learning/07 Regularization and high-dimensional inference en/Machine Learning/07 Regularization and high-dimensional inference/l1-l2-geometry.png en/Machine Learning/07 Regularization and high-dimensional inference/regularization-path.png en/Machine Learning/08 Support Vector Machines en/Machine Learning/08 Support Vector Machines/svm-kernel.png en/Machine Learning/08 Support Vector Machines/svm-margin.png en/Machine Learning/09 Decision trees and ensemble methods en/Machine Learning/09 Decision trees and ensemble methods/forest-vs-tree.png en/Machine Learning/09 Decision trees and ensemble methods/tree-boundary.png en/Mathematics en/Mathematics/01 Mathematical refresher en/Mathematics/01 Mathematical refresher/bayes-rule.svg en/Mathematics/01 Mathematical refresher/multivariate-gaussian.png fr fr/Deep Learning fr/Deep Learning/01 Introduction fr/Machine Learning fr/Machine Learning/03 Model evaluation and validation fr/Machine Learning/04 Linear models fr/Machine Learning/04 Probabilistic formulation fr/Machine Learning/04 Probabilistic formulation/bayes-decision.png fr/Machine Learning/04 Probabilistic formulation/entropy.png fr/Machine Learning/05 Linear regression fr/Machine Learning/05 Linear regression/linear-regression.png fr/Machine Learning/06 Linear classification fr/Machine Learning/06 Linear classification/logistic-regression.png fr/Machine Learning/06 Linear classification/perceptron.png fr/Machine Learning/07 Regularization and high-dimensional inference fr/Machine Learning/07 Regularization and high-dimensional inference/l1-l2-geometry.png fr/Machine Learning/07 Regularization and high-dimensional inference/regularization-path.png fr/Machine Learning/08 Support Vector Machines fr/Machine Learning/08 Support Vector Machines/svm-kernel.png fr/Machine Learning/08 Support Vector Machines/svm-margin.png fr/Machine Learning/09 Decision trees and ensemble methods fr/Machine Learning/09 Decision trees and ensemble methods/forest-vs-tree.png fr/Machine Learning/09 Decision trees and ensemble methods/tree-boundary.png fr/Mathematics fr/Mathematics/01 Mathematical refresher fr/Mathematics/01 Mathematical refresher/bayes-rule.svg fr/Mathematics/01 Mathematical refresher/multivariate-gaussian.png 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.
2026-07-02 14:39:19 36084c lugonthier en en/Deep Learning en/Deep Learning/01 Introduction en/Deep Learning/01 Introduction/network-single-hidden.svg en/Deep Learning/01 Introduction/xor-problem.png en/Deep Learning/02 Multilayer perceptron en/Deep Learning/02 Multilayer perceptron/mlp-forward.svg en/Deep Learning/02 Multilayer perceptron/universal-approximation.png en/Deep Learning/03 Activation functions en/Deep Learning/03 Activation functions/activation-choice.svg en/Deep Learning/03 Activation functions/activation-derivatives.png en/Deep Learning/03 Activation functions/activation-functions.png en/Deep Learning/04 Loss functions and output layers en/Deep Learning/04 Loss functions and output layers/loss-curves.png en/Deep Learning/04 Loss functions and output layers/output-loss-map.svg en/Deep Learning/05 Backpropagation en/Deep Learning/05 Backpropagation/backprop-steps.svg en/Deep Learning/05 Backpropagation/computational-graph.svg en/Deep Learning/06 Optimization en/Deep Learning/06 Optimization/lr-schedules.png en/Deep Learning/06 Optimization/optimizer-family.svg en/Deep Learning/06 Optimization/optimizer-paths.png en/Deep Learning/07 Initialization and vanishing gradients en/Deep Learning/07 Initialization and vanishing gradients/gradient-flow.png en/Deep Learning/07 Initialization and vanishing gradients/init-reasoning.svg en/Deep Learning/08 Normalization en/Deep Learning/08 Normalization/batchnorm-vs-layernorm.svg en/Deep Learning/08 Normalization/norm-placement.svg en/Deep Learning/08 Normalization/normalization-effect.png en/Deep Learning/09 Regularization and dropout en/Deep Learning/09 Regularization and dropout/dropout-network.svg en/Deep Learning/09 Regularization and dropout/overfitting-curves.png en/Deep Learning/10 Convolutional networks en/Deep Learning/10 Convolutional networks/conv-pipeline.svg en/Deep Learning/10 Convolutional networks/convolution.svg en/Deep Learning/10 Convolutional networks/pooling.svg en/Deep Learning/11 CNN architectures en/Deep Learning/11 CNN architectures/cnn-stack.svg en/Deep Learning/11 CNN architectures/residual-block.svg en/Deep Learning/12 Embeddings and representation learning en/Deep Learning/12 Embeddings and representation learning/embedding-lookup.svg en/Deep Learning/12 Embeddings and representation learning/embedding-space.png en/Deep Learning/12 Embeddings and representation learning/skipgram.svg en/Deep Learning/13 Recurrent networks en/Deep Learning/13 Recurrent networks/bptt-decay.png en/Deep Learning/13 Recurrent networks/rnn-unrolled.svg en/Deep Learning/14 LSTM and GRU en/Deep Learning/14 LSTM and GRU/gru-cell.svg en/Deep Learning/14 LSTM and GRU/lstm-cell.svg en/Deep Learning/15 Attention en/Deep Learning/15 Attention/attention-heatmap.png en/Deep Learning/15 Attention/attention-weights.svg en/Deep Learning/15 Attention/seq2seq-bottleneck.svg en/Deep Learning/16 Transformers en/Deep Learning/16 Transformers/positional-encoding.png en/Deep Learning/16 Transformers/transformer-block.svg en/Deep Learning/16 Transformers/transformer-stack.svg en/Deep Learning/17 Deep learning in practice en/Deep Learning/17 Deep learning in practice/field-map.svg en/Deep Learning/17 Deep learning in practice/transfer-learning.svg en/Machine Learning en/Machine Learning/02 General concepts en/Machine Learning/03 Model evaluation and validation en/Machine Learning/03 Model evaluation and validation/cross-validation.svg en/Machine Learning/03 Model evaluation and validation/time-series-cv.svg en/Machine Learning/04 Linear models en/Machine Learning/04 Linear models/linear-regression.png en/Machine Learning/04 Linear models/logistic-regression.png en/Machine Learning/04 Linear models/perceptron.png en/Machine Learning/05 Regularization and high-dimensional inference en/Machine Learning/05 Regularization and high-dimensional inference/l1-l2-geometry.png en/Machine Learning/05 Regularization and high-dimensional inference/regularization-path.png en/Machine Learning/06 Support Vector Machines en/Machine Learning/06 Support Vector Machines/svm-kernel.png en/Machine Learning/06 Support Vector Machines/svm-margin.png en/Machine Learning/07 Decision trees and ensemble methods en/Machine Learning/07 Decision trees and ensemble methods/forest-vs-tree.png en/Machine Learning/07 Decision trees and ensemble methods/tree-boundary.png fr fr/Deep Learning fr/Deep Learning/01 Introduction fr/Deep Learning/01 Introduction/network-single-hidden.svg fr/Deep Learning/01 Introduction/xor-problem.png fr/Deep Learning/02 Multilayer perceptron fr/Deep Learning/02 Multilayer perceptron/mlp-forward.svg fr/Deep Learning/02 Multilayer perceptron/universal-approximation.png fr/Deep Learning/03 Activation functions fr/Deep Learning/03 Activation functions/activation-choice.svg fr/Deep Learning/03 Activation functions/activation-derivatives.png fr/Deep Learning/03 Activation functions/activation-functions.png fr/Deep Learning/04 Loss functions and output layers fr/Deep Learning/04 Loss functions and output layers/loss-curves.png fr/Deep Learning/04 Loss functions and output layers/output-loss-map.svg fr/Deep Learning/05 Backpropagation fr/Deep Learning/05 Backpropagation/backprop-steps.svg fr/Deep Learning/05 Backpropagation/computational-graph.svg fr/Deep Learning/06 Optimization fr/Deep Learning/06 Optimization/lr-schedules.png fr/Deep Learning/06 Optimization/optimizer-family.svg fr/Deep Learning/06 Optimization/optimizer-paths.png fr/Deep Learning/07 Initialization and vanishing gradients fr/Deep Learning/07 Initialization and vanishing gradients/gradient-flow.png fr/Deep Learning/07 Initialization and vanishing gradients/init-reasoning.svg fr/Deep Learning/08 Normalization fr/Deep Learning/08 Normalization/batchnorm-vs-layernorm.svg fr/Deep Learning/08 Normalization/norm-placement.svg fr/Deep Learning/08 Normalization/normalization-effect.png fr/Deep Learning/09 Regularization and dropout fr/Deep Learning/09 Regularization and dropout/dropout-network.svg fr/Deep Learning/09 Regularization and dropout/overfitting-curves.png fr/Deep Learning/10 Convolutional networks fr/Deep Learning/10 Convolutional networks/conv-pipeline.svg fr/Deep Learning/10 Convolutional networks/convolution.svg fr/Deep Learning/10 Convolutional networks/pooling.svg fr/Deep Learning/11 CNN architectures fr/Deep Learning/11 CNN architectures/cnn-stack.svg fr/Deep Learning/11 CNN architectures/residual-block.svg fr/Deep Learning/12 Embeddings and representation learning fr/Deep Learning/12 Embeddings and representation learning/embedding-lookup.svg fr/Deep Learning/12 Embeddings and representation learning/embedding-space.png fr/Deep Learning/12 Embeddings and representation learning/skipgram.svg fr/Deep Learning/13 Recurrent networks fr/Deep Learning/13 Recurrent networks/bptt-decay.png fr/Deep Learning/13 Recurrent networks/rnn-unrolled.svg fr/Deep Learning/14 LSTM and GRU fr/Deep Learning/14 LSTM and GRU/gru-cell.svg fr/Deep Learning/14 LSTM and GRU/lstm-cell.svg fr/Deep Learning/15 Attention fr/Deep Learning/15 Attention/attention-heatmap.png fr/Deep Learning/15 Attention/attention-weights.svg fr/Deep Learning/15 Attention/seq2seq-bottleneck.svg fr/Deep Learning/16 Transformers fr/Deep Learning/16 Transformers/positional-encoding.png fr/Deep Learning/16 Transformers/transformer-block.svg fr/Deep Learning/16 Transformers/transformer-stack.svg fr/Deep Learning/17 Deep learning in practice fr/Deep Learning/17 Deep learning in practice/field-map.svg fr/Deep Learning/17 Deep learning in practice/transfer-learning.svg fr/Machine Learning fr/Machine Learning/02 General concepts fr/Machine Learning/03 Model evaluation and validation fr/Machine Learning/03 Model evaluation and validation/cross-validation.svg fr/Machine Learning/03 Model evaluation and validation/time-series-cv.svg fr/Machine Learning/04 Linear models fr/Machine Learning/04 Linear models/linear-regression.png fr/Machine Learning/04 Linear models/logistic-regression.png fr/Machine Learning/04 Linear models/perceptron.png fr/Machine Learning/05 Regularization and high-dimensional inference fr/Machine Learning/05 Regularization and high-dimensional inference/l1-l2-geometry.png fr/Machine Learning/05 Regularization and high-dimensional inference/regularization-path.png fr/Machine Learning/06 Support Vector Machines fr/Machine Learning/06 Support Vector Machines/svm-kernel.png fr/Machine Learning/06 Support Vector Machines/svm-margin.png fr/Machine Learning/07 Decision trees and ensemble methods fr/Machine Learning/07 Decision trees and ensemble methods/forest-vs-tree.png fr/Machine Learning/07 Decision trees and ensemble methods/tree-boundary.png 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.
2026-07-01 15:43:09 1a0e72 lugonthier en/MLOps en/Machine Learning fr/MLOps fr/Machine Learning Update navigation links for consistency in English and French MLOps and Machine Learning documents
2026-07-01 14:24:01 d5b8b5 lugonthier en/Machine Learning/01 Introduction en/Machine Learning/02 General concepts en/Machine Learning/03 Linear models en/Machine Learning/04 Support Vector Machines en/Machine Learning/05 Decision trees and ensemble methods fr/Machine Learning/01 Introduction fr/Machine Learning/02 General concepts fr/Machine Learning/03 Linear models fr/Machine Learning/04 Support Vector Machines fr/Machine Learning/05 Decision trees and ensemble methods 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.
2026-06-30 12:04:21 1c3139 Lucas Gonthier .gitignore en en/MLOps en/MLOps/01 Introduction en/Machine Learning en/Machine Learning/01 Introduction en/Machine Learning/01 Introduction/regression-vs-classification.png en/Machine Learning/02 General concepts en/Machine Learning/02 General concepts/gradient-descent.png en/Machine Learning/02 General concepts/loss-functions.png en/Machine Learning/03 Linear models en/Machine Learning/03 Linear models/linear-regression.png en/Machine Learning/03 Linear models/logistic-regression.png en/Machine Learning/03 Linear models/perceptron.png en/Machine Learning/04 Support Vector Machines en/Machine Learning/04 Support Vector Machines/svm-kernel.png en/Machine Learning/04 Support Vector Machines/svm-margin.png en/Machine Learning/05 Decision trees and ensemble methods en/Machine Learning/05 Decision trees and ensemble methods/forest-vs-tree.png en/Machine Learning/05 Decision trees and ensemble methods/tree-boundary.png fr fr/MLOps fr/MLOps/01 Introduction fr/Machine Learning fr/Machine Learning/01 Introduction fr/Machine Learning/01 Introduction/regression-vs-classification.png fr/Machine Learning/02 General concepts fr/Machine Learning/02 General concepts/gradient-descent.png fr/Machine Learning/02 General concepts/loss-functions.png fr/Machine Learning/03 Linear models fr/Machine Learning/03 Linear models/linear-regression.png fr/Machine Learning/03 Linear models/logistic-regression.png fr/Machine Learning/03 Linear models/perceptron.png fr/Machine Learning/04 Support Vector Machines fr/Machine Learning/04 Support Vector Machines/svm-kernel.png fr/Machine Learning/04 Support Vector Machines/svm-margin.png fr/Machine Learning/05 Decision trees and ensemble methods fr/Machine Learning/05 Decision trees and ensemble methods/forest-vs-tree.png fr/Machine Learning/05 Decision trees and ensemble methods/tree-boundary.png Initial commit: course content (Machine Learning, MLOps) in EN and FR Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>