Information Theory: From Coding to Learning - Yury Polyanskiy,Yihong Wu
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"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, emphasising practical applications in statistics, machine learning and modern communication theory. Accompanied by online instructor solutions"--
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Description
"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, emphasising practical applications in statistics, machine learning and modern communication theory. Accompanied by online instructor solutions"--
More Information
| Author | Yury Polyanskiy, Yihong Wu |
|---|---|
| Publisher | Cambridge University Press |
| Release year | 2025 |
| Cover type | Hardcover |
| EAN | 9781108832908 |