Overview

Theory & Practice of Machine Learning, with a focus on interactive learning and principled ways to encode domain knowledge. Applications to AI-for-Science, Experiment Design, Learning+Control, Program Synthesis, Robot Learning, and Learning+Neuroscience.

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