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Can I read Data Science in Societal Applications: Concepts and Implications (Studies in Big Data, 114) on EtoBox?
Data Science in Societal Applications: Concepts and Implications (Studies in Big Data, 114) by Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen is a nonfiction available to read on EtoBox.
What is Data Science in Societal Applications: Concepts and Implications (Studies in Big Data, 114) about?
"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."-- Provided by publisher
Who reads Data Science in Societal Applications: Concepts and Implications (Studies in Big Data, 114)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Siddharth Swarup Rautaray, Manjusha Pandey, Nhu Gia Nguyen
- Publisher
- SPRINGER VERLAG, SINGAPOR
- Published
- 2022
- Language
- EN
- ISBN
- 9789811951541
- Category
- nonfiction
- Subjects
- Business, Management, Mathematics
Other editions & translations
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