Bayesian Inference with Noisy and Uncertain Data
Rory J E Smith · 2024
This seminar provides a comprehensive introduction to Bayesian inference, focusing on practical applications and hands-on learning using Python. Participants will gain the skills to handle noisy and uncertain data, implement Bayesian models, and apply these techniques to their own research projects across various fields.