Non-convex Optimization for Machine Learning (eBook, 2017) [WorldCat.org]
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Non-convex Optimization for Machine Learning

Author: Prateek Jain; Purushottam Kar
Publisher: Hanover : Now Publishers, cop. 2017.
Series: Foundations and Trends in Machine Learning, v. 10, n. 3-4
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:
Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduces the rich literature in this area, as well as equips the reader with the tools and techniques needed to apply and analyze simple but powerful procedures for non-convex problems.
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Details

Genre/Form: Electronic books
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Prateek Jain; Purushottam Kar
ISBN: 1680833693 9781680833690 1680833685 9781680833683
OCLC Number: 1156863030
Notes: Índice.
Description: 1 online resource (XII, 205 p.).
Series Title: Foundations and Trends in Machine Learning, v. 10, n. 3-4
Responsibility: Prateek Jain and Purushottam Kar.

Abstract:

Non-convex Optimization for Machine Learning takes an in-depth look at the basics of non-convex optimization with applications to machine learning. It introduces the rich literature in this area, as well as equips the reader with the tools and techniques needed to apply and analyze simple but powerful procedures for non-convex problems.

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