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Relationship between MLE and MAPStats 2019. 10. 4. 20:33
1. Overview Both Maximum Likelihood Estimation (MLE) and Maximum A Posterior (MAP) are used to estimate parameters for a distribution. MLE is also widely used to estimate the parameters for a Machine Learning model, including Naïve Bayes and Logistic regression. It is so common and popular that sometimes people use MLE even without knowing much of it. For example, when fitting a Normal distribut..