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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
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2022. gada 13. maijs |
| ISBN13 | 9781801815697 |
| Izdevēji | Packt Publishing Limited |
| Lapas | 284 |
| Izmēri | 236 × 190 × 19 mm · 489 g |
| Valoda | Angļu |
Skatīt visus Guanhua Wang ( piem., Paperback Book )