ESP Biography

How should I update my beliefs when I observe new information? How can I account for uncertainty when I’m making a prediction? And once I make that prediction, how confident in it should I be? Bayesian statistics, a pillar of modern machine learning and data science, gives a principled framework for answering these questions. In this class, we will learn how to encode our beliefs about the world in probabilistic mathematical models, use these models to analyze datasets, and see why Bayesian statistics is employed in domains from science to the private sector. And, with high probability, this class will help you apply Bayesian reasoning to situations in everyday life!