Maximum likelihood is a method used in machine learning to estimate the parameters of a probability distribution. It is based on the principle that the observed data is most likely to have been generated by a particular set of parameters. The maximum likelihood estimate (MLE) of a parameter is the value of the parameter that maximizes the likelihood function. Find out more about Maximum Likelihood in this video!
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