November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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264
Chapitre 9. Techniques d’apprentissage non supervisé
• SVM à une classe :
Cet algorithme est mieux adapté à la détection de nouveautés. Rappelez-vous
qu’un classicateur SVM à noyau sépare deux classes en projetant d’abord (im-
plicitement) toutes les observations dans un espace de grande dimension, puis
en séparant les deux classes à l’aide d’un classicateur SVM linéaire dans cet
espace de grande dimension (voir chapitre5). Étant donné que nous n’avons
qu’une seule classe d’observations, l’algorithme SVM à une classe s’efforce
à la place de séparer les observations dans l’espace de grande dimension de
l’origine. Dans l’espace originel, ceci ...
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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.