Social learning in networks represents a dynamic interplay through which individuals update their beliefs by realising insights from both personal experiences and the observations of their peers. This ...

This course offers a rigorous yet practical exploration of Bayesian reasoning for data-driven inference and decision-making. Students will gain a deep understanding of probabilistic modeling, and ...