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Principles of Data Science

Produktform: E-Buch Text Elektronisches Buch in proprietärem

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

Elektronisches Format: PDF

Sprache(n): Englisch

ISBN: 978-3-030-43981-1 / 978-3030439811 / 9783030439811

Verlag: Springer International Publishing

Erscheinungsdatum: 08.07.2020

Seiten: 276

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

160,49 € inkl. MwSt.
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