Principles of data science / Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau, editors.
Arabnia, Hamid.; Daimi, Kevin.; Stahlbock, Robert.; Soviany, Cristina.; Heilig, Leonard.; Brüssau, Kai.
2020
QA76.9.B45
Available Online

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Title Principles of data science / Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau, editors.
ISBN 9783030439811 (electronic book)
303043981X (electronic book)
3030439801
9783030439804
DOI https://doi.org/10.1007/978-3-030-43
Publication Details Cham : Springer, 2020.
Language English
Description 1 online resource
Item Number 10.1007/978-3-030-43
Call Number QA76.9.B45
Dewey Decimal Classification 005.7
Summary 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.
Note Includes index.
Access Note Access limited to authorized users.
Added Author Arabnia, Hamid.
Daimi, Kevin.
Stahlbock, Robert.
Soviany, Cristina.
Heilig, Leonard.
Brüssau, Kai.
Series Transactions on computational science and computational intelligence.
Available in Other Form Print version: 9783030439804
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Record Appears in Online Resources > Ebooks
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Introduction
Data Acquisition, Extraction, and Cleaning
Data Summarization and Modeling
Data Analysis and Communication Techniques
Data Science Tools
Deep Learning in Data Science
Data Science Applications
Conclusion.

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