Maximum Likelihood Estimation (MLE)

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.


How MLE (Maximum Likelihood Estimation) algorithm works
Simplified and visualized explanation of Maximum Likelihood Estimation
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Programming Probabilistically
A book on data science and machine learning with a foundation in applied statistics leading into deep learning.
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