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Principles of Data Science

Springer International Publishing

ISBN 978-3-030-43981-1

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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

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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

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