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Word2Vec : Guide Complet — Principes, Exemples et Implémentation Python

Word2Vec: Principles, Examples, and Python Implementation

15/02/2025 - by Salah YAHIAOUI

Word2Vec learns vector representations of words by context prediction. Complete guide with Skip-Gram, CBOW, and gensim Python code.

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Autoencodeurs : Guide Complet — Principes, Exemples et Implémentation Python

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Autoencoders: Principles, Examples, and Python Implementation

14/02/2025 - by Salah YAHIAOUI

Autoencoders are neural networks for nonlinear dimensionality reduction. Complete guide with encoder-decoder architecture and TensorFlow/Keras Python code.

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LDA (Latent Dirichlet Allocation) : Guide Complet — Principes, Exemples et Implémentation Python

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LDA (Latent Dirichlet Allocation): Principles, Examples, and Python Implementation

13/02/2025 - by Salah YAHIAOUI

LDA models documents as mixtures of topics. Complete guide with Dirichlet distribution, Gibbs sampling, and Python scikit-learn code.

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NMF (Factorisation en Matrices Non-Négatives) : Guide Complet — Principes, Exemples et Implémentation Python

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NMF (Non-Negative Matrix Factorization): Principles, Examples, and Python Implementation

12/02/2025 - by Salah YAHIAOUI

NMF decomposes a positive matrix into two non-negative factors. Complete guide with additive decomposition and Python scikit-learn code.

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ACP (Analyse en Composantes Principales) : Guide Complet — Principes, Exemples et Implémentation Python

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PCA (Principal Component Analysis): Principles, Examples, and Python Implementation

11/02/2025 - by Salah YAHIAOUI

PCA reduces dimensionality by projecting onto the axes of greatest variance. Complete guide with eigenvalues, eigenvectors, and Python scikit-learn code.

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