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a method of estimating parameters of a statistical model by choosing the parameter value that optimizes the probability of observing the given sample.
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Maximum likelihood solution in probabilistic generative models
I am reading Bishop's "Machine Learning and Pattern Recognition" (https://www.microsoft.com/en-us/research/uploads/prod/2006/01/Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf) and I have the …