Scaling up Machine Learning

Cambridge University Press, 2011

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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.

ISBN-13
9780521192248
ISBN-10
0521192242
Publisher
Cambridge University Press
Year
2011
Publication date
2011-12-30
Pages
492
Dimensions
256x185x31
Weight
1078