Length1h 55m
About this audiobook
How much information is in a coin flip, a gene, a photograph, a language? This book explains the quantity that answers all of them: entropy of information, Claude Shannon's 1948 measure of uncertainty in bits, and the theory built on it. Chapters build the formula from its four exact readings — average surprise, binary questions, shortest description, missing knowledge — then follow it through coding (compression floors and capacity ceilings that run every zip file and satellite link), cryptography, the physics bridge to thermodynamics (Maxwell's demon, Landauer's price of erasure), quantum entanglement entropy, and machine learning, where cross-entropy now trains the largest artificial intelligence systems in existence.
Audiobook details
GenreEducation and Learning
Length1 hr 55 mins
Narrated byListen with 1,000+ voices
FormateBook with Audio
Publish dateOct 22, 2026
LanguageEnglish
Table of contents
1Introduction
2Chapter 1: The Discovery of Entropy of Information
3Chapter 2: Understanding Entropy of Information
4Chapter 3: Key Characteristics of Entropy of Information
5Chapter 4: The Science Behind Entropy of Information
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6Chapter 5: Observation and Measurement of Entropy of Information
7Chapter 6: Important Features of Entropy of Information
8Chapter 7: Entropy of Information in Context
9Chapter 8: Modern Understanding of Entropy of Information
10Chapter 9: Research and Exploration of Entropy of Information
11Chapter 10: Significant Discoveries About Entropy of Information
12Chapter 11: Challenges and Mysteries of Entropy of Information
13Chapter 12: Future Directions in Entropy of Information Research
14Chapter 13: Fun Facts and Trivia About Entropy of Information
15Chapter 14: Conclusion: The Significance of Entropy of Information
16References: Entropy of Information
17Glossary
18About the Author
19Series Info
20Copyright
