Maximum Likelihood (MLE) is a favorite interview topic at many companies and their interviewers, and in this short post, we are going to discuss two simple problems involving MLEs.
In [previous post_](https://medium.com/swlh/linear-regression-and-maximum-likelihood-1dcb9435c71e), _we saw how we can derive Maximum Likelihood Estimator of a linear regression problem, and showed that it is same as the least-squared-error(LSE) estimator. Maximum Likelihood (MLE) is a favorite interview topic at many companies and their interviewers, and in this short post, we are going to discuss two simple problems involving MLEs.
With this general outline, let’s now solve a few interview problems on MLE.
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