Introduces inferential statistics, covering sampling, central tendency, dispersion, histograms, z-scores, and the normal distribution.
Covers fundamental concepts in probabilities and statistics, including linear regression, exploratory statistics, and the analysis of probabilities.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers the construction of confidence intervals for a normal distribution with unknown mean and variance.
Explores latent variable models, EM algorithm, and Jensen's inequality in statistical modeling.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
