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Scaling up Machine Learning: Parallel and Distributed Approaches Ron Bekkerman
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.
492 pages, 144 b/w illus.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2011. gada 30. decembris |
| ISBN13 | 9780521192248 |
| Izdevēji | Cambridge University Press |
| Lapas | 492 |
| Izmēri | 185 × 256 × 31 mm · 1,08 kg |
| Valoda | Angļu |
| Redaktors | Bekkerman, Ron |
| Redaktors | Bilenko, Mikhail |
| Redaktors | Langford, John |