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Principles of data science

Arabnia, Hamid R.

Principles of data science

Record Type:	Electronic resources : Monograph/item
Title/Author:	Principles of data scienceedited by Hamid R. Arabnia ... [et al.].
other author:	Arabnia, Hamid R.
Published:	Cham :Springer International Publishing :2020.
Description:	xiv, 278 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big data.
Online resource:	https://doi.org/10.1007/978-3-030-43981-1
ISBN:	9783030439811$q(electronic bk.)

Principles of data science
Principles of data science[electronic resource] /edited by Hamid R. Arabnia ... [et al.]. - Cham :Springer International Publishing :2020. - xiv, 278 p. :ill., digital ;24 cm. - Transactions on computational science and computational intelligence,2569-7072. - Transactions on computational science and computational intelligence..

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.

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.

ISBN: 9783030439811$q(electronic bk.)

Standard No.: 10.1007/978-3-030-43981-1doiSubjects--Topical Terms:

609582
Big data.

LC Class. No.: QA76.9.B45 / P756 2020

Dewey Class. No.: 005.7

Principles of data science
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245 0 0 $a Principles of data science $h [electronic resource] / $c edited by Hamid R. Arabnia ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xiv, 278 p. : $b ill., digital ; $c 24 cm.
490 1 $a Transactions on computational science and computational intelligence, $x 2569-7072
505 0 $a 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 $a 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.
650 0 $a Big data. $3 609582
650 0 $a Data mining. $3 184440
650 0 $a Statistics $x Data processing. $3 183693
650 1 4 $a Communications Engineering, Networks. $3 273745
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650 2 4 $a Information Storage and Retrieval. $3 274190
650 2 4 $a Pattern Recognition. $3 273706
650 2 4 $a Big Data/Analytics. $3 742047
700 1 $a Arabnia, Hamid R. $3 491929
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830 0 $a Transactions on computational science and computational intelligence. $3 775759
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