Search Results
4 results for “bayesian”
Bayesian Inference
Bayesian inference is a statistical method that uses Bayes' theorem to update the probability of a hypothesis as new evidence becomes available, providing a principled framework for reasoning under uncertainty.
Gaussian Process
A non-parametric Bayesian model that defines a distribution over functions, widely used in regression, optimisation, and uncertainty quantification.
Hyperparameter Tuning
The process of selecting optimal configuration values for a machine learning model's external parameters using methods such as grid search, random search, and Bayesian optimisation.
Monte Carlo Methods
A broad class of computational algorithms that use repeated random sampling to obtain numerical results, widely used in machine learning for Bayesian inference, reinforcement learning, and uncertainty estimation.