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Learn the foundational concepts of probabilistic machine learning in this graduate-level lecture from the University of Utah's Data Science program. Explore key mathematical principles and theoretical frameworks that underpin modern machine learning approaches during this 80-minute academic session. Gain insights into probability theory and its applications in computational learning as part of a comprehensive spring semester course designed for advanced computer science students.