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Information Theory: From Coding to Learning Polyanskiy, Yury (Massachusetts Institute of Technology)
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Information Theory: From Coding to Learning
Polyanskiy, Yury (Massachusetts Institute of Technology)
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.
550 pages, Worked examples or Exercises
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | January 2, 2025 |
| ISBN13 | 9781108832908 |
| Publishers | Cambridge University Press |
| Pages | 748 |
| Dimensions | 261 × 185 × 41 mm · 1.68 kg |
| Language | English |
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