Machine Learning, NLP, Information Technology, Data, AI.
series of independent and identically distributed (i.i.d.) experiments, , their empirical entropy will be very close to the theoretical entropy of : (in probability). This means that, given a large series of such experiments, all of the probability will be divided only between a relatively small