# Information Theory

Information Theory is a textbook that develops core Shannon theory and connects it to statistical learning, computer science and modern communication theory. Its finite block-length approach, broad topic coverage and more than 210 end-of-part exercises suit structured study, while the substantial 748-page length is worth considering for portability.

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- Previous price: 128.36 CAD
- Discount: 17%
- Price checked: 2026-11-13T12:13:29.633Z
- Rating: 5 / 5
- Reviews: 6

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## At a glance

- Introduces classical Shannon information theory with a finite block-length approach.
- Covers data compression, channel coding and rate-distortion theory.
- Connects information-theoretic methods with statistical learning and computer science topics including f-divergences, PAC Bayes and Kolmogorov's metric entropy.
- The description reports more than 210 end-of-part exercises and examples.
- Additional standalone chapters address specialized information theory topics.

## Pros

- The described scope bridges foundational communication theory and applications in statistics, machine learning and computer science.
- Exercises and examples support use as a structured study text.
- The book is aimed at senior undergraduate and graduate students in electrical engineering, statistics and computer science.

## Cons

- At 748 pages and a listed weight of 1.68 kg, it is a substantial volume to carry or work through.

## Specifications

### Publication
- Publisher: Cambridge University Press
- Publication date: Jan. 2 2025
- Language: English
- Print length: 748 pages
- ISBN-10: 1108832903
- ISBN-13: 978-1108832908
### Dimensions and installation
- Weight listed: 1.68 kg
- Dimensions: 25.4 x 17.81 x 2.54 cm

## A good fit for

- Senior undergraduate and graduate students studying information theory, electrical engineering, statistics or computer science.
- Readers seeking a single text that spans Shannon theory and selected statistical-learning applications.

## Less suited to

- Readers seeking a brief overview or a lightweight book for frequent carrying.

## Frequently asked questions

### What topics does Information Theory cover?
The description lists Shannon theory, data compression, channel coding and rate-distortion, as well as information-theoretic methods applied to statistical learning and computer science.
### Who is this textbook intended for?
It is described as an introductory text for senior undergraduate and graduate students in electrical engineering, statistics and computer science.
### Does the book include exercises?
The listing description reports more than 210 end-of-part exercises and numerous examples.
### How large is the book?
The listed print length is 748 pages, with dimensions of 25.4 x 17.81 x 2.54 cm and a weight of 1.68 kg.

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## Images

![Information Theory — 1](https://loonieperks.com/i/TrG9yvWNMl4BDzFeQQ17qyObWJQXzlKpR6Sxo9TGtUCuBiwzz2bFrfF7TV4NGUl1qTuGdPn82_V3LMlS9DBkA_8Ads0poycYBiIPlp274OUXeeUbkaXj.jpg)

![Information Theory — 2](https://loonieperks.com/i/bAZC6TWfB8MLCM-z0fHztT7RDqP_NnSuk27W7LRxxAHChu7dUF69L1Aq6Zkgsp-DoG7DAhOtDI-T8fk26kd3EYxjW4QKm69aju7BRf3dHHlHo9dGEOuf.jpg)