Data Science in Societal Applications

Concepts and Implications de

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Éditeur :

Springer


Paru le : 2022-09-15

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Description

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. 

Pages
193 pages
Collection
n.c
Parution
2022-09-15
Marque
Springer
EAN papier
9789811951534
EAN PDF
9789811951541

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
6758 Ko
Prix
96,29 €
EAN EPUB
9789811951541

Informations sur l'ebook
Nombre pages copiables
1
Nombre pages imprimables
19
Taille du fichier
48067 Ko
Prix
96,29 €

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