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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
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 13. maja 2022 |
| ISBN13 | 9781801815697 |
| Založniki | Packt Publishing Limited |
| Strani | 284 |
| Dimenzije | 236 × 190 × 19 mm · 489 g |
| Jezik | Angleščina |
Ogled vseh Guanhua Wang ( Na primer Paperback Book )