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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
| Media | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Vrijgegeven | 13 mei 2022 |
| ISBN13 | 9781801815697 |
| Uitgevers | Packt Publishing Limited |
| Pagina's | 284 |
| Afmetingen | 236 × 190 × 19 mm · 489 g |
| Taal en grammatica | Engels |
Bekijk alles van Guanhua Wang ( bijv. Paperback Book )