Information-Theoretic Methods in Data Science - Hardcover

 
9781108427135: Information-Theoretic Methods in Data Science
Hardcover
ISBN 10: 1108427138 ISBN 13: 9781108427135
Publisher: Cambridge University Press, 2021

Synopsis

The first unified treatment of the interface between information theory and emerging topics in data science.

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About the Authors

Miguel R. D. Rodrigues is a Reader in Information Theory and Processing in the Department of Electronic and Electrical Engineering, University College London, and a Faculty Fellow at the Turing Institute, London.

Yonina C. Eldar is a Professor in the Faculty of Mathematics and Computer Science at the Weizmann Institute of Science, a Fellow of the IEEE and Eurasip, and a member of the Israel Academy of Sciences and Humanities. She is the author of Sampling Theory (Cambridge, 2015), and co-editor of Convex Optimization in Signal Processing and Communications (Cambridge, 2009), and Compressed Sensing (Cambridge, 2012).

"About this title" may belong to another edition of this title.

Publisher
Cambridge University Press
Publication date
2021
Language
English
ISBN 10 
1108427138
ISBN 13 
9781108427135
Binding
Hardcover
Edition number
1
Number of pages
560
Editor
Rodrigues Miguel R. D., Eldar Yonina C.