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Name: Anonymous 2009-05-06 6:53

...because I'll be using this thread to post things on my mind, at the time of posting.

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Entropy is the amount of uncertainty of a random variable. It's the amount of uncertainty we have when we don't know the result of an outcome. Conversely, it's the amount of information we gain when we do learn the result of an outcome.
Formally, it's the expected value of the self-information of all of the outcomes of a random variable.
H(X) = E(I(X)) for all x in X

Name: Anonymous 2009-05-13 6:25

>>15
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