November 2019
Intermediate to advanced
320 pages
13h 35m
French
Content preview from Machine Learning avec Scikit-Learn
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226
Chapitre 9. Techniques d’apprentissage non supervisé
Au chapitre8, nous avons étudié la tâche d’apprentissage non supervisé la plus
commune : la réduction de dimension. Dans ce chapitre, nous allons examiner un
certain nombre d’autres tâches et algorithmes d’apprentissage non supervisé :
• Partitionnement :
Le but est de regrouper des observations similaires en agrégats, ou clusters.
C’est un excellent outil pour l’analyse de données, la segmentation de clien-
tèle, les systèmes de recommandation, les moteurs de recherche, la segmenta-
tion d’images, l’apprentissage semi-supervisé, la réduction de dimension et plus
encore.
• Détection d’anomalies ...
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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.