Information-Theoretic Methods in Data Science - Miguel R D Rodrigues - Books - Cambridge University Press - 9781108427135 - April 8, 2021
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Information-Theoretic Methods in Data Science

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The first unified treatment of the interface between information theory and emerging topics in data science, written in a clear, tutorial style. Covering topics such as data acquisition, representation, analysis, and communication, it is ideal for graduate students and researchers in information theory, signal processing, and machine learning.


565 pages, Worked examples or Exercises; 1 Halftones, black and white; 73 Line drawings, black and w

Media Books     Hardcover Book   (Book with hard spine and cover)
Released April 8, 2021
ISBN13 9781108427135
Publishers Cambridge University Press
Pages 560
Dimensions 250 × 177 × 38 mm   ·   1.08 kg
Language English  
Editor Eldar, Yonina C. (Weizmann Institute of Science, Israel)
Editor Rodrigues, Miguel R. D. (University College London)

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