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 Scaling up Machine Learning: Parallel and Distributed Approaches
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... |  |  Learning Spring Application Development
Develop dynamic, feature-rich, and robust Spring-based applications using the Spring Framework
About This Book
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Build and deploy Spring-powered, production-grade applications and services with minimal fuss
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Discover the key Spring framework-related technology standards such as Spring core,...
|  |  OpenCL Programming by Example
For a comprehensive, easy-to-swallow guide to OpenCL Programming, this book is out on its own. That's because it teaches through examples and covers everything from parallel sorting to optimization in simple stages.
Overview
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Learn about all of the OpenCL Architecture and major APIs.
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