Optimization: A Bootcamp for Machine Learning, Inverse Problems, and ControlJul 2, 2026 · Steve Brunton▶Play+Watch later+Read later
Bayesian Linear Regression and Maximum a Posteriori (MAP) EstimateApr 24, 2026 · Steve Brunton▶Play+Watch later+Read later
Bayesian Linear Regression and Maximum Likelihood EstimatesApr 21, 2026 · Steve Brunton▶Play+Watch later+Read later
Monte Carlo Sampling and Bootstrapping in Bayesian InferenceFeb 23, 2026 · Steve Brunton▶Play+Watch later+Read later
Density Estimation with Gaussian Mixture Models (GMM) and Empirical PriorsFeb 19, 2026 · Steve Brunton▶Play+Watch later+Read later
Conjugate Priors Example: Normal Distribution and the Exponential Family of DistributionsFeb 16, 2026 · Steve Brunton▶Play+Watch later+Read later
Properties of Chi-Squared and Student's t DistributionsJan 25, 2026 · Steve Brunton▶Play+Watch later+Read later
Hypothesis Testing Revisited: Normal, t, and Chi-Squared Distribution TestsJan 23, 2026 · Steve Brunton▶Play+Watch later+Read later
