What is MLE estimate, prior and MAP estimate?
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MLE (Maximum Likelihood Estimation): Find parameters that maximize $P(D \theta)$ - Prior: $P(\theta)$ — belief about parameters before seeing data
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MAP (Maximum A Posteriori): Find parameters that maximize $P(\theta D) \propto P(D \theta) P(\theta)$