Machine Learning for Edge Computing

Machine Learning for Edge Computing
Author :
Publisher : CRC Press
Total Pages : 200
Release :
ISBN-10 : 9781000609233
ISBN-13 : 1000609235
Rating : 4/5 (33 Downloads)

Book Synopsis Machine Learning for Edge Computing by : Amitoj Singh

Download or read book Machine Learning for Edge Computing written by Amitoj Singh and published by CRC Press. This book was released on 2022-07-29 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on providing optimal solutions to the key concerns in edge computing through effective AI technologies, and it discusses how to build AI models, i.e., model training and inference, on edge. This book provides insights into this new inter-disciplinary field of edge computing from a broader vision and perspective. The authors discuss machine learning algorithms for edge computing as well as the future needs and potential of the technology. The authors also explain the core concepts, frameworks, patterns, and research roadmap, which offer the necessary background for potential future research programs in edge intelligence. The target audience of this book includes academics, research scholars, industrial experts, scientists, and postgraduate students who are working in the field of Internet of Things (IoT) or edge computing and would like to add machine learning to enhance the capabilities of their work. This book explores the following topics: Edge computing, hardware for edge computing AI, and edge virtualization techniques Edge intelligence and deep learning applications, training, and optimization Machine learning algorithms used for edge computing Reviews AI on IoT Discusses future edge computing needs Amitoj Singh is an Associate Professor at the School of Sciences of Emerging Technologies, Jagat Guru Nanak Dev Punjab State Open University, Punjab, India. Vinay Kukreja is a Professor at the Chitkara Institute of Engineering and Technology, Chitkara University, Punjab, India. Taghi Javdani Gandomani is an Assistant Professor at Shahrekord University, Shahrekord, Iran.


Machine Learning for Edge Computing Related Books

Machine Learning for Edge Computing
Language: en
Pages: 200
Authors: Amitoj Singh
Categories: Computers
Type: BOOK - Published: 2022-07-29 - Publisher: CRC Press

DOWNLOAD EBOOK

This book divides edge intelligence into AI for edge (intelligence-enabled edge computing) and AI on edge (artificial intelligence on edge). It focuses on provi
Edge Computing
Language: en
Pages: 180
Authors: K. Anitha Kumari
Categories: Computers
Type: BOOK - Published: 2021-11-22 - Publisher: CRC Press

DOWNLOAD EBOOK

This reference text presents the state-of-the-art in edge computing, its primitives, devices and simulators, applications, and healthcare-based case studies. Th
Artificial Intelligence and Machine Learning for EDGE Computing
Language: en
Pages: 516
Authors: Rajiv Pandey
Categories: Science
Type: BOOK - Published: 2022-04-26 - Publisher: Academic Press

DOWNLOAD EBOOK

Artificial Intelligence and Machine Learning for Predictive and Analytical Rendering in Edge Computing focuses on the role of AI and machine learning as it impa
Artificial Intelligence for Cloud and Edge Computing
Language: en
Pages: 358
Authors: Sanjay Misra
Categories: Computers
Type: BOOK - Published: 2022-01-13 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book discusses the future possibilities of AI with cloud computing and edge computing. The main goal of this book is to conduct analyses, implementation an
Edge AI
Language: en
Pages: 156
Authors: Xiaofei Wang
Categories: Computers
Type: BOOK - Published: 2020-08-31 - Publisher: Springer Nature

DOWNLOAD EBOOK

As an important enabler for changing people’s lives, advances in artificial intelligence (AI)-based applications and services are on the rise, despite being h