# Can you explain the pipeline of MLE?

2 min readApr 20

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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:

**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…