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Distributed Machine Learning with Python: Accelerating model training and serving with distributed systems Guanhua Wang
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Distributed Machine Learning with Python: Accelerating model training and serving with distributed systems
Guanhua Wang
Distributed Machine Learning with Python takes you through state-of-the-art techniques built on top of traditional data and model parallelism approaches. It explains the concept of hybrid data-model parallelism, federated learning, and edge device learning with elastic and in-parallel model training in multi-tenant clusters.
284 pages
| Medien | Bücher Taschenbuch (Buch mit Softcover und geklebtem Rücken) |
| Erscheinungsdatum | 13. Mai 2022 |
| ISBN13 | 9781801815697 |
| Verlag | Packt Publishing Limited |
| Seitenanzahl | 284 |
| Maße | 236 × 190 × 19 mm · 489 g |
| Sprache | Englisch |
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