Studies in Big Data- Data Science in Societal Applications Concepts and Implications

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  • Engels
  • Hardcover
  • 9789811951534
  • 16 september 2022
  • 193 pagina's
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Samenvatting

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 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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Inhoud

Taal
en
Bindwijze
Hardcover
Oorspronkelijke releasedatum
16 september 2022
Aantal pagina's
193

Betrokkenen

Hoofdredacteur
Siddharth Swarup Rautaray
Tweede Redacteur
Nhu Gia Nguyen
Hoofduitgeverij
Springer Verlag, Singapore

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Editie
1st ed. 2022
Product breedte
155 mm
Product lengte
235 mm
Studieboek
Nee
Verpakking breedte
155 mm
Verpakking hoogte
235 mm
Verpakking lengte
235 mm
Verpakkingsgewicht
521 g

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EAN
9789811951534

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