Description
This course is designed to introduce machine learning techniques for studying classical and quantum many-body problems encountered in quantum matter, quantum information, and related fields of physics. Lectures will emphasize relationships between statistical physics and machine learning. Tutorials and homework assignments will focus on developing programming skills for machine learning using Python.
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Machine Learning Lecture - 230228
Lauren Hayward Perimeter Institute for Theoretical Physics
PIRSA:23020018