この商品を友人に教える:
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.
491 pages, 144 b/w illus.
| メディア | 書籍 Paperback Book (ソフトカバーで背表紙を接着した本) |
| リリース済み | 2018年3月29日 |
| ISBN13 | 9781108461740 |
| 出版社 | Cambridge University Press |
| ページ数 | 491 |
| 寸法 | 254 × 179 × 29 mm · 934 g |
| 編集者 | Bekkerman, Ron |
| 編集者 | Bilenko, Mikhail |
| 編集者 | Langford, John |