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Lecture
Information Theory Basics
Description
This lecture covers the basics of information theory, including concepts such as entropy, independence of random variables, and the binary entropy function. It explains how information is measured, the relationship between entropy and uncertainty, and the fundamental inequality in information theory. Examples are provided to illustrate the application of these concepts in various scenarios.
Official source
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