Information-Theoretic Methods in Data Science

Language: English

Published by Cambridge University Press, 2020

1108427138 / 9781108427135

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - 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, representation learning, emerging topics in statistics, and much more. Each chapter includes a topic overview, definition of the key problems, emerging and open problems, and an extensive reference list, allowing readers to develop in-depth knowledge and understanding. Providing a thorough survey of the current research area and cutting-edge trends, this is essential reading for graduate students and researchers working in information theory, signal processing, machine learning, and statistics.…

Seller Inventory # 9781108427135

Title
Information-Theoretic Methods in Data Science
Author
Miguel R. D. Rodrigues
Publisher
Cambridge University Press
Publication year
2020
Condition
Neu
Binding
Buch
Language
English
ISBN 10
1108427138
ISBN 13
9781108427135
Item weight
1,137 grams
Dimensions
250x175x35 mm

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

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