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What is the difference between Maximum Likelihood (ML) and Maximum a Posteri (MAP) estimation?
Can you explain to me the difference between Maximum Likelihood (ML) and Maximum a Posteriori (MAP) estimation?
Sure! Maximum Likelihood estimation involves finding the most likely values of the parameters of a statistical model, given the observed data. On the other hand, Maximum a Posteriori estimation involves finding the most likely values of the parameters, taking into account any prior knowledge we have about them.