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Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem, The Bent Coin Lottery
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YouTubeJakob Foerster
Lecture 3: Entropy and Data Compression (II): Shannon's Source Coding Theorem, The Bent Coin Lottery
Lecture 3 of the Course on Information Theory, Pattern Recognition, and Neural Networks. Produced by: David MacKay (University of Cambridge) Author: David MacKay, University of Cambridge A series of sixteen lectures covering the core of the book "Information Theory, Inference, and Learning Algorithms" (Cambridge University Press, 2003, http ...
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