TY  - BOOK
AU  - Chauhan,Vinod Kumar
TI  - Stochastic optimization for large-scale machine learning
SN  - 9781003240167
AV  - Q325.5 .C43 2022eb
U1  - 006.3/1 23
PY  - 2022///
CY  - Boca Raton
PB  - CRC Press
KW  - Machine learning
KW  - Statistical methods
KW  - Big data
KW  - Mathematical optimization
KW  - Stochastic processes
KW  - COMPUTERS / Computer Science
KW  - bisacsh
N1  - 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
N2  - "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"--
UR  - https://www.taylorfrancis.com/books/9781003240167
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -