Bayesian Inference in Large-Scale Data Systems

Ravendracroma06 Jun, 2025Education

Bayesian Inference in large-scale data systems allows updating beliefs based on new data using probability. It efficiently handles uncertainty and integrates prior knowledge. Scalable algorithms like variational inference and MCMC help apply Bayesian methods to massive datasets, enabling better predictions and decision-making in complex, real-world environments.