Maximum likelihood estimation is a method of estimating the parameters of a probability distribution by maximizing a likelihood function, so that under the assumed statistical model the observed data is most probable.

2015-02-01 · Simplified and visualized explanation of Maximum Likelihood Estimation

maximum-likelihood-estimation video tutorial

A book on data science and machine learning with a foundation in applied statistics leading into deep learning.

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