Explore the intricacies of Bayesian Workflow in this comprehensive lecture from the Nordic Probabilistic AI School (ProbAI) 2023. Delve into the subject matter as presented by Andrew R. Johnson over the course of 2 hours and 19 minutes. Access supplementary materials on GitHub to enhance your understanding of the concepts discussed. The lecture, expertly cut by Saeid Shamsaliei and edited by David Baumgartner, provides a deep dive into probabilistic AI techniques. Enhance your knowledge of Bayesian methods and their practical applications in artificial intelligence. Take advantage of this opportunity to learn from a leading expert in the field and expand your skillset in probabilistic modeling and inference.
Overview
Syllabus
Bayesian Workflow by Andrew R. Johnson
Taught by
Probabilistic AI School
