entropy in information theory
Entropy in information theory is a measure of the uncertainty or randomness in a set of data. It indicates the average amount of information needed to represent the data, where data with high entropy requires more bits to represent than data with low entropy. This concept is particularly important in fields like data compression, cryptography, and communication systems, where minimizing entropy can help improve efficiency and security.
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