October 2020
Intermediate to advanced
276 pages
7h 44m
French
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PARTIE I Trouver la bonne approche en matière de ML
La plupart des particuliers ou des entreprises savent bien quels problèmes ils souhaitent résoudre, par exemple prévoir quels clients quitteront une plateforme en ligne ou fabriquer un drone qui suivra un utilisateur pendant qu’il descend une montagne à ski. De même, la plupart des gens peuvent rapidement apprendre à entraîner un modèle afin de classifier les clients ou de détecter des objets avec une exactitude raisonnable compte tenu d’un certain jeu de données.
Ce qui est beaucoup plus rare, cependant, c’est la capacité à prendre un problème, à estimer la meilleure façon de le résoudre, à élaborer un plan pour l’aborder avec le ML, et finalement à exécuter ce plan en toute confiance. C’est ...
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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.