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
maximum-likelihood-estimation video tutorial
Programming Probabilistically
A book on data science and machine learning with a foundation in applied statistics leading into deep learning.
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