Building a recommendation system with Surprise and Fast.ai.

Ariel Gamino shows how to put collaborative filtering techniques into action to create recommendation engines, one of the most useful types of machine learning application. You'll become familiar with the workflow of a professional data scientist.

Détails bibliographiques
Cote:Libro Electrónico
Format: Électronique Vidéo
Langue:Inglés
Publié: [Place of publication not identified] : Manning Publications, [2021]
Édition:[First edition].
Sujets:
Recommender systems (Information filtering)
Machine learning.
Systèmes de recommandation (Filtrage d'information)
Apprentissage automatique.
Webcast
Instructional films.
Internet videos.
Nonfiction films.
Films de formation.
Films autres que de fiction.
Vidéos sur Internet.
Accès en ligne:Texto completo (Requiere registro previo con correo institucional)

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