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Information-Theoretic Methods in Data Science - Rodrigues, Miguel R. D. (Editor), and Eldar, Yonina C. (Editor)
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Learn about the state-of-the-art at the interface between information theory and data science with this first unified treatment of the subject. Written by leading experts in a clear, tutorial style, and using consistent notation and definitions throughout, it shows how information-theoretic methods are being used in data acquisition, data representation, data analysis, and statistics and machine learning. Coverage is broad, with chapters on signal acquisition, data compression, compressive sensing, data communication, ...

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Information-Theoretic Methods in Data Science 2021, Cambridge University Press, Cambridge

ISBN-13: 9781108427135

Hardcover