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Intermediate
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Maximum Likelihood Estimation
The core idea behind MLE.
Maximum Likelihood Estimation chooses parameter values that:
A
Maximize the probability of observing the given data
B
Minimize the number of parameters used
C
Maximize the prior probability of the parameters
D
Guarantee zero prediction error