Learn about Bayesian thinking, Bayes Theorem, Prior, Likelihood, Posterior, Conditional Independence, Naive Bayes, Naive Bayes Classifier Regularization, Laplace Smoothing, Lidstone Smoothing, Bayesian Networks (Bayesian Belief Networks), Bayesian Linear Regression, and Bayesian Optimization.