Information theory : from coding to learning /
This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning. Includes over 210 student exercises, emphasizing practical applications in statistics, machine learning and modern communication theor...
| Main Authors: | , |
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| Format: | Book |
| Language: | English |
| Published: |
Cambridge ; New York :
Cambridge University Press,
[2025].
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| Subjects: |
| Summary: | This enthusiastic introduction to the fundamentals of information theory builds from classical Shannon theory through to modern applications in statistical learning. Includes over 210 student exercises, emphasizing practical applications in statistics, machine learning and modern communication theory. Accompanied by online instructor solutions. |
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| Physical Description: | xxiv, 724 pages : illustrations ; 26 cm. |
| Bibliography: | Includes bibliographical references and index. |
| ISBN: | 9781108832908 1108832903 |