Principles of Data Science (Record no. 75762)
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fixed length control field | 04089nam a22006495i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-030-43981-1 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801213928.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 200708s2020 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783030439811 |
-- | 978-3-030-43981-1 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.382 |
245 10 - TITLE STATEMENT | |
Title | Principles of Data Science |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2020. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIV, 276 p. 102 illus., 55 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | Transactions on Computational Science and Computational Intelligence, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Arabnia, Hamid R. |
700 1# - AUTHOR 2 | |
Author 2 | Daimi, Kevin. |
700 1# - AUTHOR 2 | |
Author 2 | Stahlbock, Robert. |
700 1# - AUTHOR 2 | |
Author 2 | Soviany, Cristina. |
700 1# - AUTHOR 2 | |
Author 2 | Heilig, Leonard. |
700 1# - AUTHOR 2 | |
Author 2 | Brüssau, Kai. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-43981-1 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2020. |
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-- | txt |
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-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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-- | text file |
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Telecommunication. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational intelligence. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information storage and retrieval systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Pattern recognition systems. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Quantitative research. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Communications Engineering, Networks. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Intelligence. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Information Storage and Retrieval. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Automated Pattern Recognition. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Data Analysis and Big Data. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2569-7080 |
912 ## - | |
-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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