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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| Otros Autores: | , |
| Formato: | Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
Manning Publications
2019.
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| Edición: | [1st edition] |
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| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009820365406719 |
| 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. |
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| Descripción Física: | 1 online resource (1 video file, approximately 55 min.) : sound, color |
