Data Science in Societal Applications [electronic resource] : Concepts and Implications / edited by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen.

Contributor(s):

Material type: Text

TextSeries: Studies in Big Data ; 114Publisher: Singapore : Springer Nature Singapore : Imprint: Springer, 2022Edition: 1st ed. 2022Description: XI, 193 p. 98 illus., 88 illus. in color. online resourceISBN:

9789811951541

Subject(s):

DDC classification:

005.7 23

Online resources:

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Contents:

Cloud GIS Model for Coastal Geospatial Big Data Analytics -- Appealing AI in Appalling Covid-19 Crisis and the Impending -- Role of Data Science in Programmatic Advertising -- Social Development Data and Societal Modelling: A study in Indian Context -- Deep learning Trends and Inspired Systems in Natural Language Processing.

Summary: 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. .

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Holdings
Item type	Current library	Call number	Materials specified	Status	Date due	Barcode	Item holds
E-Books	National Library of India Online Resource	005.7 (Browse shelf(Opens below))		Available		EBK000033180ENG

Total holds: 0

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. .

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