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Explore the intricacies of Bayesian methodology in this comprehensive 2-hour lecture from the Nordic Probabilistic AI School (ProbAI) 2024. Delve into the Bayesian workflow as presented by Andrew Johnson, gaining valuable insights into probabilistic AI techniques. Access accompanying materials on GitHub to enhance your learning experience. The lecture, expertly cut and edited by David Baumgartner, incorporates engaging sound effects to maintain audience engagement. Whether you're a beginner or an advanced practitioner in the field of probabilistic AI, this lecture offers a deep dive into Bayesian concepts and their practical applications.
