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Maximum Likelihood Estimation

A maximum likelihood estimation is trying to fit an appropriate distribution to observed data. In other words we are trying to approximate a distribution based on the data that we say. The term likelihood means that the distribution that we find has the best chance of actually having data like the ones we have