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Dive into the world of Causal Machine Learning with this comprehensive lecture from the Nordic Probabilistic AI School (ProbAI) 2023. Explore key concepts and methodologies presented by Fredrik D. Johansson over the course of 2 hours and 29 minutes. Access accompanying materials on GitHub to enhance your learning experience. Benefit from the expert editing of David Baumgartner and cutting by Saeid Shamsaliei, which ensure a polished presentation. Engage with the content as it delves into the intricacies of causal inference and its applications in machine learning, providing valuable insights for both beginners and experienced practitioners in the field of artificial intelligence and data science.
Syllabus
Causal Machine Learning by Fredrik D. Johansson
Taught by
Probabilistic AI School