November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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204
Chapitre 8. Réduction de dimension
Outre l’accélération de l’entraînement, la réduction de dimension est aussi extrê-
mement utile pour visualiser les données. Réduire le nombre de dimensions à deux
(ou trois) permet de donner une représentation graphique condensée d’un jeu d’en-
traînement de grande dimension et, souvent, d’en tirer des enseignements importants
en détectant visuellement une structuration telle que des agrégats. De plus, la visua-
lisation des données est essentielle lorsqu’il s’agit de communiquer vos conclusions à
des personnes qui ne sont pas des spécialistes de l’analyse de données, en particulier
aux décisionnaires qui utiliseront ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.