Deep Learning Techniques and Optimization Strategies in Big Data Analytics (pdf)

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Author J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant
Edition 1
Edition Year 2019
Format PDF
ISBN 9781799811923
Language English
Number Of Pages 388
Publisher Engineering Science Reference

Description

Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there’s a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Additional information

Author

J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant

Edition

1

Edition Year

2019

Format

PDF

ISBN

9781799811923

Language

English

Number Of Pages

388

Publisher

Engineering Science Reference

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