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Kniha Principles of Data Science Hamid R. Arabnia

Principles of Data Science

Autor: Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau
Jazyk: Angličtina
Vazba: Pevná
Vydavatel: Springer Nature Switzerland AG
Dostupnost: Skladem u dodavatele
Odesíláme za 10-13 dnů
3 654 Kč
This book provides readers with a thorough understanding of various research areas within the field...

Informace o knize

Autor
Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau
Jazyk
Angličtina
Vazba
Kniha - Pevná
Vydáno
2020
Stránek
276
EAN
9783030439804
Enbook ID
25825489
Vydavatel
Springer Nature Switzerland AG
Hmotnost
612
Rozměry
155 x 235 x 22

Kompletní popis

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 road map of future trends suitable for innovative data science research and practice

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