Information Measures

Related lectures (31)

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Covers information measures, entropy, mutual information, and data processing inequality in signal representation.

Explores entropy, randomness, and information quantification in biological data analysis, including neuroscience and protein structure prediction.

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

Covers information measures like entropy, joint entropy, and mutual information in information theory and data processing.

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

Explores decision trees for classification, entropy, information gain, one-hot encoding, hyperparameter optimization, and random forests.

Explores achievable rate, channel capacity, spectral efficiency, and fading channels in wireless communication systems.

Covers entropy, its definition, and its implications in thermodynamics.

Discusses conditional entropy and its role in information theory and data compression.

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