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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Principles of Data Science

Principles of Data Science

Arabnia, Hamid R.
Stahlbock, Robert
Daimi, Kevin

Hardcover

Series: Transactions on Computational Science and Computational Inte

Technology & EngineeringSystem Administration

ISBN10: 3030439801
ISBN13: 9783030439804
Publisher: Springer Nature
Published: Jul 9 2020
Pages: 276
Weight: 1.30
Height: 0.69 Width: 6.14 Depth: 9.21
Language: English
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

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