Lecture

Information Theory Basics

In course

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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.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_pq4x3dlk

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Information engineering

Information theory: Channel capacity, Coding theory

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