Gaussian Processes
GP priors over functions, kernel functions (RBF, Matérn, periodic), GP regression with posterior mean and variance, hyperparameter optimization, and Bayesian optimization for ML hyperparameter tuning.
GP priors over functions, kernel functions (RBF, Matérn, periodic), GP regression with posterior mean and variance, hyperparameter optimization, and Bayesian optimization for ML hyperparameter tuning.