Scaling Up Machine Learning

Mikhail Bilenko

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Language: English

Published by Cambridge University Press Mär 2018, 2018

1108461743 / 9781108461740

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Neuware - This book presents an integrated collection of representative approaches for scaling up machine learning and data mining methods on parallel and distributed computing platforms. Demand for parallelizing learning algorithms is highly task-specific: in some settings it is driven by the enormous dataset sizes, in others by model complexity or by real-time performance requirements. Making task-appropriate algorithm and platform choices for large-scale machine learning requires understanding the benefits, trade-offs and constraints of the available options. Solutions presented in the book cover a range of parallelization platforms from FPGAs and GPUs to multi-core systems and commodity clusters, concurrent programming frameworks including CUDA, MPI, MapReduce and DryadLINQ, and learning settings (supervised, unsupervised, semi-supervised and online learning). Extensive coverage of parallelization of boosted trees, SVMs, spectral clustering, belief propagation and other popular learning algorithms, and deep dives into several applications, make the book equally useful for researchers, students and practitioners.…

Seller Inventory # 9781108461740

Title
Scaling Up Machine Learning
Author
Mikhail Bilenko
Publisher
Cambridge University Press Mär 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1108461743
ISBN 13
9781108461740
Item weight
844 grams
Dimensions
254x178x25 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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