Stochastic Optimization for Large-scale Machine Learning

Stochastic Optimization for Large-scale Machine Learning
Author :
Publisher : CRC Press
Total Pages : 189
Release :
ISBN-10 : 9781000505610
ISBN-13 : 1000505618
Rating : 4/5 (618 Downloads)

Book Synopsis Stochastic Optimization for Large-scale Machine Learning by : Vinod Kumar Chauhan

Download or read book Stochastic Optimization for Large-scale Machine Learning written by Vinod Kumar Chauhan and published by CRC Press. This book was released on 2021-11-18 with total page 189 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fine-grained patterns and take timely and accurate decisions, but it also creates a lot of challenges such as slow training and scalability of machine learning models. One of the major challenges in machine learning is to develop efficient and scalable learning algorithms, i.e., optimization techniques to solve large scale learning problems. 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. Key Features: Bridges machine learning and Optimisation. Bridges theory and practice in machine learning. Identifies key research areas and recent research directions to solve large-scale machine learning problems. Develops optimisation techniques to improve machine learning algorithms for big data problems. The book will be a valuable reference to practitioners and researchers as well as students in the field of machine learning.


Stochastic Optimization for Large-scale Machine Learning Related Books

Stochastic Optimization for Large-scale Machine Learning
Language: en
Pages: 189
Authors: Vinod Kumar Chauhan
Categories: Computers
Type: BOOK - Published: 2021-11-18 - Publisher: CRC Press

GET EBOOK

Advancements in the technology and availability of data sources have led to the `Big Data' era. Working with large data offers the potential to uncover more fin
Reinforcement Learning and Stochastic Optimization
Language: en
Pages: 1090
Authors: Warren B. Powell
Categories: Mathematics
Type: BOOK - Published: 2022-03-15 - Publisher: John Wiley & Sons

GET EBOOK

REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATION Clearing the jungle of stochastic optimization Sequential decision problems, which consist of “decision, in
Reinforcement Learning and Stochastic Optimization
Language: en
Pages: 1090
Authors: Warren B. Powell
Categories: Mathematics
Type: BOOK - Published: 2022-04-25 - Publisher: John Wiley & Sons

GET EBOOK

REINFORCEMENT LEARNING AND STOCHASTIC OPTIMIZATION Clearing the jungle of stochastic optimization Sequential decision problems, which consist of “decision, in
First-order and Stochastic Optimization Methods for Machine Learning
Language: en
Pages: 591
Authors: Guanghui Lan
Categories: Mathematics
Type: BOOK - Published: 2020-05-15 - Publisher: Springer Nature

GET EBOOK

This book covers not only foundational materials but also the most recent progresses made during the past few years on the area of machine learning algorithms.
Introduction to Stochastic Search and Optimization
Language: en
Pages: 620
Authors: James C. Spall
Categories: Mathematics
Type: BOOK - Published: 2005-03-11 - Publisher: John Wiley & Sons

GET EBOOK

* Unique in its survey of the range of topics. * Contains a strong, interdisciplinary format that will appeal to both students and researchers. * Features exerc