Mutual information

Related lectures (32)

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Explores covariance, correlation, and mutual information in quantifying statistical dependence between random variables.

Explores structured learning with the Chau-Lieu algorithm and delves into the basics of deep learning and neural networks.

Explores combining force and vision for efficient manipulation tasks using a lower dimensional representation.

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

Covers source coding, Kraft's inequality, mutual information, Huffman procedure, and properties of tropical sequences.

Explores the curse of dimensionality, variable selection methods, coefficient of determination, and limitations of filtering techniques.

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

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

Covers the basics of information theory and its applications in various fields.