Lecture

Information Measures: Part 2

Related lectures (30)

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Information Measures

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Explores mutual information, quantifying relationships between random variables and measuring information gain and statistical dependence.

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Information Measures: Part 1

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Explores maximal correlation in information theory, mutual information properties, Renyi's measures, and mathematical foundations of information theory.

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Explores mutual information for quantifying statistical dependence between variables and inferring probability distributions from data.

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On entropy and mutual information explores quantifying information in data science through probability distributions.

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