Deep Learning Techniques and Optimization Strategies in Big Data Analytics is popular PDF and ePub book, written by Thomas, J. Joshua in 2019-11-29, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Deep Learning Techniques and Optimization Strategies in Big Data Analytics can be Read Online from any device for your convenience.
Deep Learning Techniques and Optimization Strategies in Big Data Analytics Book PDF Summary
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.
Detail Book of Deep Learning Techniques and Optimization Strategies in Big Data Analytics PDF
- Author : Thomas, J. Joshua
- Release : 29 November 2019
- Publisher : IGI Global
- ISBN : 9781799811947
- Genre : Computers
- Total Page : 355 pages
- Language : English
- PDF File Size : 20,5 Mb
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