Bayes Theorem is a very common and fundamental theorem used in Data mining and Machine learning. Its formula is pretty simple: P(X|Y) = ( P(Y|X) * P(X) ) / P(Y), which is Posterior = ( Likelihood * Prior ) / Evidence So I was wondering why they are called correspondingly like that. Let’s use an … Continue reading Understand Bayes Theorem (prior/likelihood/posterior/evidence)