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The Story of a Generative Classifier: Bayes, MAP , MLE & Gaussian Mixture Models
How do we teach a machine to classify? In this video, we tell the full story, starting with a 250-year-old idea from Thomas Bayes. This story has a problem: the "perfect" model is impossible to build. So, our hero becomes Maximum Likelihood Estimation (MLE), a clever way to find the most likely parameters for our data. We'll act this out with a ...
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