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Gaussian (Normal) Distribution Explained #gaussian #distribution #statistics #datascience #maths
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🎲 Monte Carlo Simulation of a Gaussian Distribution – Explained Visually
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Jour 22 — Loi de Gauss (distribution normale) La distribution normale (loi de Gauss) est une référence centrale en statistique et en data science : elle permet de raisonner sur la rareté des événements, de standardiser les variables (z-score) et d’interpréter les écarts à la moyenne. Dans ce Jour 22 du challenge #100JoursDeML, je reviens sur : μ et σ, la règle 68–95–99,7, le z-score, et les raisons pour lesquelles de nombreux modèles ML “aiment” des données (ou des erreurs) proches de la normali
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