Machine learning is a data driven endeavor, but real world systems are physical and mechanistic. In this talk we will review approaches to integrating machine learning with real world systems. Our focus will be on emulation (otherwise known as surrogate modeling).
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Machine Learning and the Physical World
Guest Lecture: Algorithms of Oppression: How Search Engines Reinforce Racism
Location: 010 Pine
Colloquium: Data-driven Models for the Physical Sciences
Location: Peyton Hall , Room 145