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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.
| Media | Böcker Pocketbok (Bok med mjukt omslag och limmad rygg) |
| Releasedatum | 29 mars 2018 |
| ISBN13 | 9781108461740 |
| Utgivare | Cambridge University Press |
| Antal sidor | 491 |
| Mått | 254 × 179 × 29 mm · 934 g |
| Redaktör | Bekkerman, Ron |
| Redaktör | Bilenko, Mikhail |
| Redaktör | Langford, John |
