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Anotace knihy

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

Parametry knihy

Zařazení knihy Knihy v němčině Naturwissenschaften, Medizin, Informatik, Technik Technik Bau- und Umwelttechnik

• Plný název: Principles of Data Science
• Autor: Kevin Daimi, Kai Brüssau, Cristina Soviany, Leonard Heilig, Robert Stahlbock
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 296
• EAN: 9783030439835
• ISBN: 3030439836
• ID: 36638079
• Nakladatelství: Springer Nature Switzerland AG
• Hmotnost: 452 g
• Rozměry: 235 × 155 × 17 mm
• Datum vydání: 09. July 2021

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