Optimization for Machine Learning (Neural Information Processing Series)

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ISBN 10: 026201646X ISBN 13: 9780262016469
Published by Mit Pr, 2011
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Synopsis:

An up-to-date account of the interplay between optimization and machine learning, accessible to students and researchers in both communities.

The interplay between optimization and machine learning is one of the most important developments in modern computational science. Optimization formulations and methods are proving to be vital in designing algorithms to extract essential knowledge from huge volumes of data. Machine learning, however, is not simply a consumer of optimization technology but a rapidly evolving field that is itself generating new...

About the Author:

Suvrit Sra is a Research Scientist at the Max Planck Institute for Biological Cybernetics, Tübingen, Germany. Sebastian Nowozin is a Postdoctoral Researcher at Microsoft Research, Cambridge, UK. Stephen J. Wright is Professor in the Computer Sciences Department at the University of Wisconsin, Madison.

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Bibliographic Details

Title: Optimization for Machine Learning (Neural ...
Publisher: Mit Pr
Publication Date: 2011
Binding: Hardcover
Condition: very_good

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Published by The MIT Press, 2011
ISBN 10: 026201646X ISBN 13: 9780262016469
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