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.
Functions GeneratorsCovers moment and cumulant generating functions for random variables, enabling calculation of moments and cumulants.
