A summary on Maximum likelihood Estimator
Why to learn MLE?
The drawback of least square estimator
A general method of building a predictive model requires least square estimation at first. Then we need work on the residuals, find the confidence interval of parameters and test how well the model fits the data which are based on the normally distributed assumption of the residuals (or noises).…
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