CHAPTER 2 Estimating Probabilities
machine learning algorithms. In this simple example you have a coin, represented by the random variable X. If you flip this coin, it may turn up heads (indicated by X =1) or tails (X =0). The learning task is to estimate the probability that it will turn up heads; that is, to estimate P(X=1).
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