Data Science in Societal Applications

Data Science in Societal Applications

  • Siddharth Swarup Rautaray
  • Manjusha Pandey
  • Nhu Gia Nguyen
Publisher:Springer NatureISBN 13: 9789811951541ISBN 10: 9811951543

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Know about the book -

Data Science in Societal Applications is written by Siddharth Swarup Rautaray and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 9811951543 (ISBN 10) and 9789811951541 (ISBN 13).

The book provides an insight into the practical applications and theoretical foundation of data science. The book discusses new ways of embracing agile approaches to various facets of data science, including machine learning and artificial intelligence, data mining, data visualization, and communication. The book includes contributions from academia and industry experts detailing the shortfalls of current tools and techniques used and generating the blueprint of the new technologies. The topics covered in the book range from theoretical and foundational research, platforms, methods, applications, and tools in data science. The chapters in the book add a social, geographical, and temporal dimension to data science research. The papers included are application-oriented that prepare and use data in discovery research. This book will provide researchers and practitioners with a detailed snapshot of current progress in data science. Moreover, it will stimulate new study, research, and the development of new applications.