Principles of Data Science
Springer International Publishing
ISBN 978-3-030-43981-1
Standardpreis
Bibliografische Daten
eBook. PDF
2020
XIV, 276 p. 102 illus., 55 illus. in color..
In englischer Sprache
Umfang: 276 S.
Verlag: Springer International Publishing
ISBN: 978-3-030-43981-1
Weiterführende bibliografische Daten
Das Werk ist Teil der Reihe: Transactions on Computational Science and Computational Intelligence
Produktbeschreibung
This book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists' preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science.
- Introduces various techniques, methods, and algorithms adopted by Data Science experts
- Provides a detailed explanation of data science perceptions, reinforced by practical examples
- Presents a roadmap of future trends suitable for innovative data science research and practice
Autorinnen und Autoren
Produktsicherheit
Hersteller
Springer Nature Customer Service Center GmbH
ProductSafety@springernature.com