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Art of the Problem | Claude Shannon's Information Entropy (Physical Analogy) @ArtOfTheProblem | Uploaded 10 years ago | Updated 9 hours ago
Entropy is a measure of the uncertainty in a random variable (message source). Claude Shannon defines the "bit" as the unit of entropy (which is the uncertainty of a fair coin flip). In this video information entropy is introduced intuitively using bounce machines & yes/no questions.

Note: This analogy applies to higher order approximations, we simply create a machine for each state and average over all machines!
Claude Shannons Information Entropy (Physical Analogy)The Beauty of Lempel-Ziv CompressionHamming & low density parity check codesEulers Totient/Phi Function (step 4)Discovery of the Visible SpectrumThe Trust Machine: TeaserWhy Deep Neural Networks Beat Shallow Ones.  #ai #technology #scienceSneak PeekAncient Information Theory (Semaphores & signal fires)What is a bit? (Information Theory)Fermats Little Theorem (Visualization)Public key cryptography - Diffie-Hellman Key Exchange (full version)

Claude Shannon's Information Entropy (Physical Analogy) @ArtOfTheProblem

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