An intuitive understanding of maximum likelihood estimation


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One of the very fundamental problems that machine learning seeks to solve is trying to predict outcomes under certain degrees of uncertainty. But before we get to the heart of the probability theory that works behind the scenes let’s start small. Even if we have little to no familiarity with how machine learning works, most of us know the very basic form of prediction model- the linear curve fit. I have a chair.


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