April 2026
Intermediate
586 pages
17h 40m
French
Content preview from Apprendre AutoML (French Edition)
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Partie I. Les bases de l'AutoML
Avant de pouvoir exploiter la puissance de l'apprentissage automatique, tu dois comprendre ce que c'est, d'où ça vient et comment ça fonctionne en coulisses. Ces connaissances fondamentales te seront utiles tout au long de ce livre, et tout au long de ta carrière lorsque tu mettras en œuvre l'AutoML en production.
Dans cette partie, nous commencerons par une question fondamentale : qu’est-ce que l’AutoML exactement, et pourquoi est-il devenu indispensable pour les professionnels du ML d’aujourd’hui ? Nous retracerons son évolution, de la recherche universitaire aux plateformes prêtes à l’emploi, en observant le domaine passer de prototypes expérimentaux à des outils sur lesquels les entreprises du Fortune 500 s’appuient quotidiennement.
Plus important encore, nous allons disséquer le pipeline AutoML de bout en bout : cette orchestration sophistiquée du prétraitement des données, de l’ingénierie des caractéristiques, de la sélection des modèles, de l’optimisation des hyperparamètres et de la construction d’ensembles qui se déroule automatiquement lorsque tu exécutes une seule ligne de code. Comprendre ce pipeline est crucial : cela transforme l’AutoML d’une boîte noire en un système transparent que tu peux déboguer, personnaliser et auquel tu peux faire confiance.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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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.