This lecture covers variational representation, linear algebra review, and information measures such as entropy, conditional entropy, mutual information, and variational representation of mutual information.
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Covers information measures like entropy, Kullback-Leibler divergence, and data processing inequality, along with probability kernels and mutual information.
