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Principles of Data Science - Arabnia, Hamid R (Editor), and Daimi, Kevin (Editor), and Stahlbock, Robert (Editor)
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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 ...

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Principles of Data Science 2021, Springer, Cham

ISBN-13: 9783030439835

2020 edition

Trade paperback

Principles of Data Science 2020, Springer, Cham

ISBN-13: 9783030439804

2020 edition

Hardcover