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Stochastic optimization for large-scale machine learning /

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"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 ord...

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Bibliographic Details
Main Author: Chauhan, Vinod Kumar (Author)
Corporate Author: Taylor & Francis
Format: eBook
Language:English
Published: Boca Raton : CRC Press, 2022.
Edition:First edition.
Subjects:
Machine learning > Statistical methods.
Big data.
Mathematical optimization.
Stochastic processes.
COMPUTERS / Computer Science
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of 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.