Description
| Product ID: | 9781108461740 |
| Product Form: | Paperback / softback |
| Country of Manufacture: | GB |
| Title: | Scaling up Machine Learning |
| Subtitle: | Parallel and Distributed Approaches |
| Authors: | Author: John Langford, Ron Bekkerman, Mikhail Bilenko |
| Page Count: | 491 |
| Subjects: | Computing and Information Technology, Computing & information technology, Machine learning, Pattern recognition, Machine learning, Pattern recognition |
| Description: | Select Guide Rating 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. |
| Imprint Name: | Cambridge University Press |
| Publisher Name: | Cambridge University Press |
| Country of Publication: | GB |
| Publishing Date: | 2018-03-29 |
