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.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications, [2021]
Edición:[First edition].
Temas:
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.
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)
Descripción
Sumario: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.
Descripción Física:1 online resource (1 video file (13 min.)) : sound, color.
Tiempo de Juego:00:13:00

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