Colin Carroll

Colin Carroll, a machine learning researcher and key contributor to PyMC3 and ArviZ, discusses the intricacies of probabilistic programming. He explains its value in the realm of Bayesian statistics and provides insights on selecting between various libraries like Stan and Pyro based on project requirements. Colin shares his journey from pure mathematics to data science and emphasizes the importance of quantifying uncertainty for better decision-making, particularly in high-stakes scenarios like flight insurance.