Principles of Data Science

Principles of Data Science - Transactions on Computational Science and Computational Intelligence

1st Edition 2020

Hardback (09 Jul 2020)

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Publisher's 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 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

Book information

ISBN: 9783030439804
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Edition: 1st Edition 2020
Language: English
Number of pages: 276
Weight: 612g
Height: 235mm
Width: 155mm
Spine width: 18mm