Blockchain and Machine Learning based Emerging Technology

Sandeep Kumar

ISBN 10: 6138949501 / ISBN 13: 9786138949503

Published by Scholars' Press, 2021

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - The book highlights the framework of robust and novel methods for advanced cross-industry BLOCKCHAIN and Machine Learning Technologies. Implementation strategies and future research directions meeting the design & amp; application requirements of several modern and real-time applications for a long time. The book would be a better choice for most available books which are published a long time ago and hence the current needs of advancement in concept, Methods, and Applications in Artificial Intelligence, Machine Learning Technologies at BLOCKCHAIN are seldom elaborated in old books. We express our appreciation to all of the contributing authors who helped us tremendously with their contributions, time-critical thoughts and suggestions to put together this peer-reviewed edited volume.

Seller Inventory # 9786138949503

Bibliographic Details

• Title: Blockchain and Machine Learning based Emerging Technology
• Publisher: Scholars' Press
• Publication Date: 2021
• Language: English
• ISBN 10: 6138949501
• ISBN 13: 9786138949503
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 12D millimeters 220 millimeters width by 150 millimeters height by 12 millimeters depth
• Weight: 310 grams

About this title

Synopsis

The book highlights the framework of robust and novel methods for advanced cross-industry BLOCKCHAIN and Machine Learning Technologies. Implementation strategies and future research directions meeting the design & amp; application requirements of several modern and real-time applications for a long time. The book would be a better choice for most available books which are published a long time ago and hence the current needs of advancement in concept, Methods, and Applications in Artificial Intelligence, Machine Learning Technologies at BLOCKCHAIN are seldom elaborated in old books. We express our appreciation to all of the contributing authors who helped us tremendously with their contributions, time-critical thoughts and suggestions to put together this peer-reviewed edited volume.