Gibbs Entropy and Information Theory

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Related lectures (29)

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Mutual Information and Entropy

Explores mutual information and entropy calculation between random variables.

Conditional Entropy and Data Compression Techniques

Discusses conditional entropy and its role in data compression techniques.

Information Theory: Entropy and Information Processing

Explores entropy in information theory and its role in data processing and probability distributions.

Entropy and KL Divergence

Explores entropy, KL divergence, and maximum entropy principle in probability models for data science.

Random Walks and Moran Model in Population Genetics

Explores random walks, Moran model, bacterial chemotaxis, entropy, information theory, and coevolving sites in proteins.

Entropy in Neuroscience and Ecology

Delves into entropy in neuroscience data and ecology, exploring the representation of sensory information and the diversity of biological populations.

Thermodynamic Transformations and Entropy

Explores thermodynamic transformations of ideal gases, heat capacity, entropy, and adiabatic processes.

Data Compression: Entropy Definition

Explores data compression through entropy definition, types, and practical examples, illustrating its role in efficient information storage and transmission.

Thermodynamics: Entropy and Ideal Gases

Explores entropy, ideal gases, and TDS equations in thermodynamics, emphasizing the importance of the Clausius inequality and the Carnot cycle.