Machine Learning: Mathematical Theory and Scientific Applications

Modern machine learning has had remarkable success and is poised to change fundamentally the way we do physical modeling. This talk provides an overview of some theoretical and practical issues. The first part of this talk will be focused on the following: How can we make use of modern machine learning tools to help build reliable and practical physical models. The second part of the talk will be devoted to the mathematical foundation of modern machine learning.

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