Principles of Data Science

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Synopsis

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

Book details

Edition:
1st ed. 2020
Series:
Transactions on Computational Science and Computational Intelligence
Author:
Hamid R. Arabnia, Robert Stahlbock, Kevin Daimi, Cristina Soviany, Leonard Heilig, Kai Brüssau
ISBN:
9783030439811
Related ISBNs:
9783030439804
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2020-10-12
Usage restrictions:
Copyright
Copyright date:
2020
Copyright by:
Springer Nature Switzerland AG 
Adult content:
No
Language:
English
Categories:
Business and Finance, Communication, Computers and Internet, Nonfiction, Technology