L21: Bayesian estimation | priors, posteriors & bayes’ theorem in parameter estimation
36:49
YouTubeIIT Madras - B.S. Degree Programme
L21: Bayesian estimation | priors, posteriors & bayes’ theorem in parameter estimation
Welcome to Lecture 20 of the course "Machine Learning Techniques" by Prof. Arun Rajkumar. Full Course: https://study.iitm.ac.in/ds/course_pages/BSCS2007.html Video Overview This lecture explores the limitations of Maximum Likelihood Estimation (MLE) and introduces Bayesian modeling as a powerful alternative. Learn how to incorporate prior ...
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