There is immense hype, and immense promise, in machine learning for physics and astronomy. I use the case of stellar astrophysics as an example area in which to explore these ideas. It is an ideal field, because there are both very large data sets and incredibly detailed and successful physical models. And yet these models are nonetheless...
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Colloquium: Data-driven Models for the Physical Sciences
Location: Peyton Hall , Room 145
Colloquium: Learning Certifiably Optimal Rule Lists for Categorical Data
Location: 127 Corwin
Colloquium: Machine Learning at Facebook
Location: 214 Fine Hall