Bayesian Statistics: Mixture Models introduces you to an important class of statistical models. The course is organized in five modules, each of which contains lecture videos, short quizzes, background reading, discussion prompts, and one or more peer-reviewed assignments. Statistics is best learned by doing it, not just watching a video, so the course is structured to help you learn through application.
Familiarity with calculus-based probability, principles of maximum-likelihood estimation, and Bayesian estimation.
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- 4 stars21.62%
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來自BAYESIAN STATISTICS: MIXTURE MODELS的熱門評論
I learned a lot about bayesian mixture model, expectation maximization, and MCMC algorithms and their use case in classification and clustering problems. I highly recommend this course.
Definitely quite mathematical in nature. Good way to learn about expectation-maximisation algorithm.