UID:
almahu_9949385406502882
Umfang:
1 online resource
Ausgabe:
First edition.
ISBN:
9781003240167
,
100324016X
,
9781000505610
,
1000505618
,
9781000505535
,
1000505537
Inhalt:
"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"--
Anmerkung:
Optimisation problem, solvers, challenges and research directions -- Mini-batch and block-coordinate approach -- Variance reduction methods -- Learning and data access -- Mini-batch block-coordinate Newton method -- Stochastic trust region inexact Newton method -- Conclusion and future scope.
Weitere Ausg.:
Print version: Chauhan, Vinod Kumar. Stochastic optimization for large-scale machine learning. Boca Raton : CRC Press, 2022 ISBN 9781032131757
Sprache:
Englisch
Schlagwort(e):
Electronic books.
;
Electronic books.
URL:
https://www.taylorfrancis.com/books/9781003240167
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