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2018-01-05
Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning - de Valliappa Lakshmanan (Author)
Caractéristiques Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
Les données ci-dessous sont affichées les points générales du Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning
| Le Titre Du Fichier | Data Science on the Google Cloud Platform: Implementing Ent-to-End Real-Time Data Pipelines: From Ingest to Machine Learning |
| Date de Parution | 2018-01-05 |
| Traducteur | Arvid Hal |
| Chiffre de Pages | 124 Pages |
| Taille du fichier | 60.42 MB |
| Langue du Livre | Français et Anglais |
| Éditeur | Taunton Press |
| ISBN-10 | 8410203459-XBA |
| Type de Fichier | AMZ ePub PDF AFP PDAX |
| de (Auteur) | Valliappa Lakshmanan |
| EAN | 256-8376173650-ENS |
| Nom de Fichier | Data-Science-on-the-Google-Cloud-Platform-Implementing-Ent-to-End-Real-Time-Data-Pipelines-From-Ingest-to-Machine-Learning.pdf |
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