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Explore the theoretical foundations of machine learning and machine teaching in this comprehensive lecture by Jerry Zhu from the University of Wisconsin-Madison. Delve into the synthesis of models and systems as part of the Simons Institute's series on advanced computational concepts. Gain insights into the fundamental principles that underpin modern artificial intelligence and learn how these theories are applied in practical machine learning scenarios. Discover the interconnections between machine learning and machine teaching, and understand their implications for future advancements in the field.
