Information-Theoretic Methods in Data Science

ISBN 10: 1108427138 / ISBN 13: 9781108427135

Verlag: Cambridge University Press, 2020

In. Bestandsnummer des Verkäufers ria9781108427135_new

Inhaltsangabe:

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

Über die Autorinnen und Autoren: 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).

Bibliografische Details

Titel: Information-Theoretic Methods in Data Science
Verlag: Cambridge University Press
Erscheinungsdatum: 2020
Einband: Hardcover
Zustand: New