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Stochastic optimization for large-scale machine learning / Vinod Kumar Chauhan.
- Format:
- Book
- Author/Creator:
- Chauhan, Vinod Kumar, author.
- Language:
- English
- Subjects (All):
- Machine learning--Statistical methods.
- Machine learning.
- Big data.
- Mathematical optimization.
- Stochastic processes.
- Physical Description:
- 1 online resource.
- 1 online resource (xviii, 158pages) : illustrations
- Edition:
- First edition.
- Place of Publication:
- Boca Raton, Florida : CRC Press, [2022]
- Biography/History:
- Dr. Vinod Kumar Chauhanis a Research Associate in Industrial Machine Learning in the Institute for Manufacturing, Department of Engineering at University of Cambridge UK. He has a PhD in Machine Learning from Panjab University Chandigarh India. His research interests are in Machine Learning, Optimization and Network Science. He specializes in solving large-scale optimization problems in Machine Learning, handwriting recognition, flight delay propagation in airlines, robustness and nestedness in complex networks and supply chain design using mathematical programming, genetic algorithms and reinforcement learning.
- Summary:
- "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.
- Contents:
- 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.
- Notes:
- Includes bibliographical references (pages [145]-156) and index.
- Description based on print version record.
- ISBN:
- 9781003240167
- 100324016X
- 9781000505535
- 1000505537
- 9781000505610
- 1000505618
- OCLC:
- 1281966963
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