How to build recommender systems with ML and AI /

Frank Kane, Sundog Education founder, explains the advantages, use cases and methodologies for deploying Recommender Systems. Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Kane, Frank (Autor)
Formato: Electrónico Video
Idioma:Inglés
Publicado: [Place of publication not identified] : Manning Publications, 2019.
Edición:[1st edition].
Temas:
Recommender systems (Information filtering)
Systèmes de recommandation (Filtrage d'information)
Webcast
Electronic videos.
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:Frank Kane, Sundog Education founder, explains the advantages, use cases and methodologies for deploying Recommender Systems. Frank Kane holds 17 issued patents in the fields of distributed computing, data mining, and machine learning. He spent 9 years at Amazon and IMDb, developing and managing the technology that automatically delivers product and movie recommendations to millions of customers every day.
Descripción Física:1 online resource (1 video file, approximately 55 min.) : sound, color
Tiempo de Juego:00:55:00

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