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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.
| 介质类型 | 图书 Hardcover Book (精装硬皮书) |
| 已发行 | 2011年12月30日 |
| ISBN13 | 9780521192248 |
| 出版商 | Cambridge University Press |
| 页数 | 492 |
| 商品尺寸 | 185 × 256 × 31 mm · 1,08 kg |
| 语言 | 英语 |
| 编辑 | Bekkerman, Ron |
| 编辑 | Bilenko, Mikhail |
| 编辑 | Langford, John |