In this video I show how the MLE algorithm works. We provide an animation where several points are classified considering three classes with mean and standard deviation values previously computed. We compute the class conditional density for the three classes and conclude the classification of a sample point with unknown class.
The source-code used to create animations and results are available at github.com/tko...
The presentation used to create the video is available at prezi.com/ofib...
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Негізгі бет How MLE (Maximum Likelihood Estimation) algorithm works
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