Hamid R. (Hrsg.) Arabnia
Principles of Data Science
Ebook (PDF Format)
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 manuscrip…
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Beschreibung
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 expertsProvides a detailed explanation of data science perceptions, reinforced by practical examplesPresents a road map of future trends suitable for innovative data science research and practice
CHF 177.00
Preise inkl. MwSt. und Versandkosten (Portofrei ab CHF 40.00)
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Produktdetails
Weitere Autoren: Daimi, Kevin (Hrsg.) / Stahlbock, Robert (Hrsg.) / Soviany, Cristina (Hrsg.) / Heilig, Leonard (Hrsg.) / Brüssau, Kai (Hrsg.)
- ISBN: 978-3-030-43981-1
- EAN: 9783030439811
- Produktnummer: 34404829
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2020
- Seitenangabe: 278 S.
- Plattform: PDF
- Masse: 9'140 KB
- Abbildungen: 47 schwarz-weiße und 55 farbige Abbildungen, Bibliographie
Über den Autor
118040242
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