UID:
almahu_9949385406502882
Format:
1 online resource
Edition:
First edition.
ISBN:
9781003240167
,
100324016X
,
9781000505610
,
1000505618
,
9781000505535
,
1000505537
Content:
"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"--
Note:
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.
Additional Edition:
Print version: Chauhan, Vinod Kumar. Stochastic optimization for large-scale machine learning. Boca Raton : CRC Press, 2022 ISBN 9781032131757
Language:
English
Keywords:
Electronic books.
;
Electronic books.
URL:
https://www.taylorfrancis.com/books/9781003240167
