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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

Bibliographic Details
Format: eBook
Language:English
Published: [Place of publication not identified] Manning Publications 2021
Edition:[First edition]
Subjects:
Machine Learning / Http://id.loc.gov/authorities/subjects/sh85079324
Recommender Systems (information Filtering) / Fast / (ocolc)fst01743365
Systèmes De Recommandation (filtrage D'information)
Recommender Systems (information Filtering) / Http://id.loc.gov/authorities/subjects/sh2007003098
Apprentissage Automatique
Machine Learning / Fast / (ocolc)fst01004795
Online Access:
Collection: O'Reilly - Collection details see MPG.ReNa
Description
Summary: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
Physical Description:1 video file (13 min.) sound, color

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