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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
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 13 de mayo de 2022 |
| ISBN13 | 9781801815697 |
| Editores | Packt Publishing Limited |
| Páginas | 284 |
| Dimensiones | 236 × 190 × 19 mm · 489 g |
| Lengua | Inglés |
Ver todo de Guanhua Wang ( Ej. Paperback Book )