CHAPTER 2 Estimating Probabilities
scribes joint probability distributions over many variables, and shows how they can be used to calculate a target P(YjX). It also considers the problem of learning, or estimating, probability distributions from training data, pre-senting the two most common approaches: maximum likelihood estimation and maximum a posteriori estimation.
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