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Maximum Likelihood Estimation (MLE):
Maximum A Posteriori (MAP):
Prior Information:
Perspective:
Overfitting and Regularization:
Sensitivity to Outliers:
Both MLE and MAP are powerful estimation techniques, each with its strengths and weaknesses. The choice between them depends on the context and the availability of prior information. In scenarios with ample data and no prior knowledge, MLE might suffice. In contrast, when prior information is available or data is limited, MAP can provide more reliable estimates.