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
Autor Corporativo: Manning (Firm), publisher (publisher)
Otros Autores: Gamino, Ariel, presenter (presenter)
Formato: Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications [2021]
Edición:[First edition]
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820359806719
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