Can you explain the pipeline of MLE?

Maximum Likelihood Estimation (MLE) is a statistical method used to estimate the parameters of a probability distribution, given a set of observations. The general pipeline of MLE involves the following steps:

1. Define a probability distribution: The first step in MLE is to select an appropriate probability distribution that can model the data. For example, if the data is continuous, one could use a…