Stochastic optimization for large-scale machine learning / Vinod Kumar Chauhan, PhD.

Author/creator Chauhan, Vinod Kumar
Format Electronic
EditionFirst edition.
Publication InfoBoca Raton : CRC Press, Taylor and Francis Group, 2022.
Description1 online resource (xviii, 158 pages)
Supplemental ContentFull text available from Taylor & Francis eBooks
Subjects

Abstract "Stochastic Optimization for Large-scale Machine Learning identifies different areas of improvement and recent research directions to tackle the challenge. Developed optimisation techniques are also explored to improve machine learning algorithms based on data access and on first and second order optimisation methods. The book will be a valuable reference to practitioners and researchers as well as students in the field of machine learning"-- Provided by publisher.
Bibliography noteIncludes bibliographical references (pages 145-156) and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Source of descriptionDescription based on print version record and CIP data provided by publisher; resource not viewed.
Issued in other formPrint version: Stochastic optimization for large-scale machine learning Boca Raton : CRC Press, Taylor & Francis Group, 2022. 9781032131757
Genre/formElectronic books.
LCCN 2023701542
ISBN9781000505610 ebook
ISBN(hardback)
ISBN(paperback)

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Electronic Resources Access Content Online ✔ Available