Welcome to the beta version of Shelfari’s new Book Detail pages!
These pages are editable by the community, so please contribute! Click here to learn more about this feature. We’d love to hear your feedback.
Description
Information theory and inference, often taught separately, are here united in one entertaining textbook. These topics lie at the heart of many exciting areas of contemporary science and engineering - communication, signal processing, data mining, machine learning, pattern recognition,... read more
First Sentence
In this chapter we discuss how to measure the information content of the outcome of a random experiment.
Table of Contents
Authors & Contributors
- David J. C. MacKay (Author)
Popular Tags
Books with Additional Background Information
List the books that contain additional information about this book.
If you have any suggestions for how we can improve this page or if there are sections that you would like us to add, please let us know.
