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Last Updated: September 28, 2026
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An important problem that arises when fitting data with We move from the frequentist to the In this video, we start our discussion of probabilistic This lecture by Prof. Fred Hamprecht covers directed graphical models. This part introduces inference in We use the marginal distribution of observations to derive the expression for the likelihood of the probabilistic In this section, we discuss one nonlinear extension of This video is gentle and motivated introduction to In the maximum likelihood approach to model fitting, we report the performance of the best-fitting parameters in our model class. We discuss how to convert a factorization of a joint distribution into a product of prior and conditional distributions into a directed ... In this section we cover three applications of We go over Section 1.2.6 and discuss the
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