Certificate in Bayesian Inference: Probabilistic Models
-- ViewingNowThe Certificate in Bayesian Inference: Probabilistic Models course is a comprehensive program that focuses on the principles and applications of Bayesian inference. This course is essential for individuals seeking to enhance their data analysis and machine learning skills, as it provides a probabilistic approach to modeling and inference.
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⢠Unit 1: Introduction to Bayesian Inference
⢠Unit 2: Probability Basics and Bayes' Theorem
⢠Unit 3: Bayesian Estimation and Credible Intervals
⢠Unit 4: Hierarchical Bayesian Modeling
⢠Unit 5: MCMC Methods and Gibbs Sampling
⢠Unit 6: Conjugate Priors and Posteriors
⢠Unit 7: Model Selection and Bayes Factors
⢠Unit 8: Bayesian Computational Tools: Stan and PyMC3
⢠Unit 9: Case Studies in Bayesian Inference
⢠Unit 10: Practical Challenges and Recent Developments in Bayesian Analysis
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