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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Manning Publications,
2019.
|
| Edición: | [1st edition]. |
| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 520 | |a 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. | ||
| 588 | 0 | |a Online resource; title from title details screen (O'Reilly, viewed March 3, 2022). | |
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