November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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2.2 Prendre du recul pour une vision d’ensemble
41
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• RMSE(X,h) est la fonction de coût mesurée sur le jeu d’exemples en utilisant
votre hypothèse h.
Nous utilisons dans cet ouvrage des lettres minuscules en italique pour les valeurs
scalaires (telles que m ou y
(
i
)
) et les noms de fonctions (telles que h), des lettres
minuscules en gras pour les vecteurs (tels que x
(
i
)
), et des lettres majuscules en gras
pour les matrices (telles que X).
Si la RMSE est en général la mesure de performance utilisée pour les tâches de régres-
sion, vous pouvez dans certains contextes préférer utiliser une autre ...
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