A essential measure in information concept is entropy. Entropy quantifies the amount of uncertainty linked to the worth of the random variable or the result of a random method. As an example, figuring out the outcome of a good coin flip (with two equally likely outcomes) presents a lot less information (decrease entropy) than specifying the outcome
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