Latent Variable ModelsExplores latent variable models, EM algorithm, and Jensen's inequality in statistical modeling.
Testing: t-testsCovers t-tests, p-values calculation, and comparison of coefficients.
Bayesian Parameter EstimationCovers an example of Bayesian parameter estimation and the trade-off between bias and variance in supervised learning.
Continuous Random VariablesExplores continuous random variables, density functions, joint variables, independence, and conditional densities.
Probabilities and StatisticsCovers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.