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Scaling up Machine Learning
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 requirem ...more
Kindle Edition, 492 pages
Published December 30th 2011 by Cambridge University Press
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