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Data Science in Societal Applications

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Data Science in Societal Applications Synopsis

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. 


About This Edition

ISBN: 9789811951565
Publication date: 17th September 2023
Author: Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen
Publisher: Springer an imprint of Springer Nature Singapore
Format: Paperback
Pagination: 193 pages
Series: Studies in Big Data
Genres: Databases
Applied computing