Maximum A- Posteriori (MAP) Estimation for Machine Learning | Explained with Example
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YouTubeRoboSathi
Maximum A- Posteriori (MAP) Estimation for Machine Learning | Explained with Example
This video explains how the MAP Estimator finds the most probable value of a parameter given observed data and prior belief. We derive MAP step-by-step, analyze the posterior distribution, and explore how changing priors (uniform vs biased) impacts the result. Learning Objectives Full derivation of MAP for a discrete Gaussian model Comparison ...
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Maximum a posteriori estimation MAP Estimation Explained
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