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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.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | December 30, 2011 |
| ISBN13 | 9780521192248 |
| Publishers | Cambridge University Press |
| Pages | 492 |
| Dimensions | 185 × 256 × 31 mm · 1.08 kg |
| Language | English |
| Editor | Bekkerman, Ron |
| Editor | Bilenko, Mikhail |
| Editor | Langford, John |