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XGBoost (A Scalable Tree Boosting System) 21 Page 22 XGBoost (Getting Started) 22 Page 23 Slides (formulation on slides 17-26) Recorded Presentation

  • Boosting de gradient extrême
    XGBoost utilise plusieurs cœurs sur le CPU afin que l'apprentissage puisse se faire en parallèle pendant l'entraînement.
    Il s'agit d'un algorithme de boosting qui peut traiter de vastes jeux de données, ce qui le rend attrayant pour les applications de big data.

  • Pourquoi utiliser XGBoost ?

    XGBoost pour les séries temporelles
    Comme XGBoost est très bon pour identifier des modèles dans les données, si vous avez suffisamment de caractéristiques temporelles décrivant votre ensemble de données, il fournira des prédictions très décentes.

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