Machine learning for adaptive many-core machines -- a practical approach [electronic resource] / Noel Lopes, Bernardete Ribeiro.
Lopes, Noel, author.; Ribeiro, Bernardete, author.
2015
Q325.5
Available Online

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Title Machine learning for adaptive many-core machines -- a practical approach [electronic resource] / Noel Lopes, Bernardete Ribeiro.
Author Lopes, Noel, author.
ISBN 9783319069388 electronic book
3319069381 electronic book
9783319069371
DOI https://doi.org/10.1007/978-3-319-06938-8
Published Cham : Springer, 2015.
Language English
Description 1 online resource (xx, 241 pages) : illustrations (some color).
Item Number 10.1007/978-3-319-06938-8 doi
Call Number Q325.5
Dewey Decimal Classification 006.3/1
Summary The overwhelming data produced everyday and the increasing performance and cost requirements of applications is transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data. This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together.
Bibliography, etc. Note Includes bibliographical references and index.
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from PDF title page (SpringerLink, viewed July 7, 2014).
Added Author Ribeiro, Bernardete, author.
Series Studies in big data ; v.7.
Available in Other Form Print version: 9783319069371
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Introduction
Supervised Learning
Unsupervised and Semi-supervised Learning
Large-Scale Machine Learning.

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