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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
| Mídia | Livros Paperback Book (Livro de capa flexível e brochura) |
| Lançado | 13 de maio de 2022 |
| ISBN13 | 9781801815697 |
| Editoras | Packt Publishing Limited |
| Páginas | 284 |
| Dimensões | 236 × 190 × 19 mm · 489 g |
| Idioma | Inglês |
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