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A collection of our favourite articles, and content that will build your fundamentals, make you curious, and stimulate your passion for learning the real science behind data. Are you ready?
The post explores Maximum Likelihood Estimation (MLE) math, applies it to Bernoulli and Normal distributions, and discusses MLE's significance in statistics, and machine learning
MLE finds the most likely underlying distribution a given sample is coming from by using probability as a basic tool to measure the coherence between the data and the unknown process. This post explains it with a few examples.
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