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Principles of Data Science

Produktform: Buch / Einband - flex.(Paperback)

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. weiterlesen

Dieser Artikel gehört zu den folgenden Serien

Sprache(n): Englisch

ISBN: 978-3-030-43983-5 / 978-3030439835 / 9783030439835

Verlag: Springer International Publishing

Erscheinungsdatum: 09.07.2021

Seiten: 276

Auflage: 1

Herausgegeben von Hamid R. Arabnia, Robert Stahlbock, Kai Brüssau, Kevin Daimi, Cristina Soviany, Leonard Heilig

171,19 € inkl. MwSt.
kostenloser Versand

lieferbar - Lieferzeit 10-15 Werktage

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