Data Science in Applications
Language: English
Published by Springer Nature, 2023
- Hardcover
- New

Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
AbeBooks seller since January 6, 2003
Condition: New
US$ 319.77
Quantity: 2 available
Add to basketItem description from seller
264 pages. 9.25x6.10x0.75 inches. In Stock.
Seller Inventory # x-3031244524
- Title
- Data Science in Applications
- Author
- Dzemyda, Gintautas (Editor)/ Bernataviciene, Jolita (Editor)/ Kacprzyk, Janusz (Editor)
- Publisher
- Springer Nature
- Publication year
- 2023
- Condition
- Brand New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 3031244524
- ISBN 13
- 9783031244520
- Item weight
- 0.61 kilograms
This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities.
"Synopsis" may belong to another edition of this title.
From the Back Cover
This book provides an overview of a wide range of relevant applications and reveals how to solve them. Many of the latest applications in finance, technology, education, medicine and other important and relevant fields are data-driven. The volumes of data are enormous. Specific methods need to be developed or adapted to solve a particular problem. It illustrates data science in applications. These applications have in common the discovery of knowledge in data and the use of this knowledge to make real decisions. The set of examples presented serves as a recipe book for their direct application to similar problems or as a guide for the development of new, more sophisticated approaches. The intended readership is data scientists looking for appropriate solutions to their problems. In addition, the examples provided serves as material for lectures at universities.
"About the title" may belong to another edition of this title.
Revaluation Books
Exeter, United Kingdom
AbeBooks seller since January 6, 2003
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