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9:23
YouTube
KTU AI DATAVERSE
MLE & MAP Estimation Solved | Step-by-Step Explanation | Module 4 Part 1 (KTU AMT305)
📌 Welcome to Module 4 Part 1 of the Machine Learning series (KTU AMT305 – 2019 Scheme)! In this video, we begin Parameter Estimation in Machine Learning by learning Maximum Likelihood Estimation (MLE) and Maximum A Posteriori Estimation (MAP) in a simple and fully exam-oriented manner. This session includes clear explanations + derivations ...
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Maximum a posteriori estimation MAP Estimation Explained
SOLVED: What is the difference between maximum Likelihood parameterestimation and maximum a posteriori estimation? Whenthey can meet?
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