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Entropy (information theory)

In information theory, the entropy of a random variable quantifies the average level of uncertainty or information associated with the variable's potential states or possible outcomes. This measures the expected amount of information needed to describe the state of the variable, considering the distribution of probabilities across all potential states.…

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Entropy for continuous random variables

Use in number theory

Use in combinatorics

Use in machine learning

Textbooks on information theory

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Entropy (information theory)

Nodes160
Edges159
Triples6
Avg. degree1.99
Density0.0125
Components1

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Important terminology

entropy information displaystyle log mathrm probability shannon bits measure one theory random sum variable event function also continuous given uncertainty

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SubjectPredicateObjectConfidenceSrc
combinatoricsinstance ofEntropy has relevance to other areas of mathematics0.80text
machine learninginstance ofEntropy has relevance to other areas of mathematics0.80text
temperatureinstance ofdefined by thermodynamic parameters0.80text
volumeinstance ofdefined by thermodynamic parameters0.80text
energyinstance ofdefined by thermodynamic parameters0.80text
etcinstance ofdefined by thermodynamic parameters0.80text

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