Deep Learning Innovations and Their Convergence With Big Data

Nonfiction, Computers, Advanced Computing, Theory, Artificial Intelligence, General Computing
Cover of the book Deep Learning Innovations and Their Convergence With Big Data by , IGI Global
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781522530176
Publisher: IGI Global Publication: July 13, 2017
Imprint: Information Science Reference Language: English
Author:
ISBN: 9781522530176
Publisher: IGI Global
Publication: July 13, 2017
Imprint: Information Science Reference
Language: English
The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

More books from IGI Global

Cover of the book Social Networking and Community Behavior Modeling by
Cover of the book Social Network Engineering for Secure Web Data and Services by
Cover of the book Cloud Computing Technologies for Green Enterprises by
Cover of the book Business Strategies and Advanced Techniques for Entrepreneurship 4.0 by
Cover of the book Handbook of Research on Design and Management of Lean Production Systems by
Cover of the book Energy-Aware Systems and Networking for Sustainable Initiatives by
Cover of the book Exploring the Social and Academic Experiences of International Students in Higher Education Institutions by
Cover of the book Handbook of Research on Green Engineering Techniques for Modern Manufacturing by
Cover of the book Engineering Creative Design in Robotics and Mechatronics by
Cover of the book Handbook of Research on Innovative Technology Integration in Higher Education by
Cover of the book Political Discourse in Emergent, Fragile, and Failed Democracies by
Cover of the book Organizational Integration of Enterprise Systems and Resources by
Cover of the book Driving Customer Appeal Through the Use of Emotional Branding by
Cover of the book Technological Applications in Adult and Vocational Education Advancement by
Cover of the book Decision Control, Management, and Support in Adaptive and Complex Systems by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy