How does binary entropy differ from classical entropy, and how is it calculated for a binary random variable with two outcomes?
Saturday, 26 August 2023
by EITCA Academy
Binary entropy, also known as Shannon entropy, is a concept in information theory that measures the uncertainty or randomness of a binary random variable with two outcomes. It differs from classical entropy in that it specifically applies to binary variables, whereas classical entropy can be applied to variables with any number of outcomes. To understand