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Scaling up Machine Learning: Parallel and Distributed Approaches Ron Bekkerman
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Scaling up Machine Learning: Parallel and Distributed Approaches
Ron Bekkerman
In many practical situations it is impossible to run existing machine learning methods on a single computer, because either the data is too large or the speed and throughput requirements are too demanding. Researchers and practitioners will find here a variety of machine learning methods developed specifically for parallel or distributed systems, covering algorithms, platforms and applications.
491 pages, 144 b/w illus.
| Mediji | Grāmatas Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2018. gada 29. marts |
| ISBN13 | 9781108461740 |
| Izdevēji | Cambridge University Press |
| Lapas | 491 |
| Izmēri | 254 × 179 × 29 mm · 934 g |
| Redaktors | Bekkerman, Ron |
| Redaktors | Bilenko, Mikhail |
| Redaktors | Langford, John |