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Online Public Access Catalogue

题名/责任者:

Applications of machine learning in big-data analytics and cloud computing / edited by Subhendu Kumar Pani, Somanath Tripathy, George Jandieri, Sumit Kundu, Talal Ashraf Butt.

出版发行项:

Gistrup, Denmark : River Publishers, 2022.

ISBN:

9788770042963

载体形态项:

xxxii, 313 pages : illustrations (some color) ; 23 cm.

丛编说明:

River Publishers series in information science and technology

丛编统一题名:

River Publishers series in information science and technology.

附加个人名称:

Pani, Subhendu Kumar, 1980- editor.

附加个人名称:

Tripathy, Somanath, editor.

附加个人名称:

Jandieri, George, editor.

附加个人名称:

Kundu, Sumit, editor.

附加个人名称:

Butt, Talal Ashraf, editor.

论题主题:

Big data.

论题主题:

Machine learning.

论题主题:

Cloud computing.

中图法分类号:

TB311.13

书目附注:

Includes bibliographical references and index.

摘要附注:

"Cloud Computing and Big Data technologies have become the new descriptors of the digital age. The global amount of digital data has increased more than nine times in volume in just five years and by 2030 its volume may reach a staggering 65 trillion gigabytes. This explosion of data has led to opportunities and transformation in various areas such as healthcare, enterprises, industrial manufacturing and transportation. New Cloud Computing and Big Data tools endow researchers and analysts with novel techniques and opportunities to collect, manage and analyze the vast quantities of data. In Cloud and Big Data Analytics, the two areas of Swarm Intelligence and Deep Learning are a developing type of Machine Learning techniques that show enormous potential for solving complex business problems. Deep Learning enables computers to analyze large quantities of unstructured and binary data and to deduce relationships without requiring specific models or programming instructions. This book introduces the state-of-the-art trends and advances in the use of Machine Learning in Cloud and Big Data Analytics. The book will serve as a reference for Data Scientists, systems architects, developers, new researchers and graduate level students in Computer and Data science. The book will describe the concepts necessary to understand current Machine Learning issues, challenges and possible solutions as well as upcoming trends in Big Data Analytics."--Publisher's website.

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