sraeisi/MachineLearning_Physics
This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-19 semester. For more information, see the course page at
This repository provides comprehensive course materials for learning how machine learning techniques are applied in physics. It includes lecture notes, interactive coding notebooks, and video lectures that cover topics from basic machine learning concepts to neural networks. Students and researchers in physics can use these resources to understand and implement machine learning solutions for their scientific problems.
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Use this if you are a physics student or researcher looking for structured educational content to learn machine learning with a focus on physics applications.
Not ideal if you are looking for a pre-built software tool or library to directly solve a specific physics problem without needing to learn the underlying machine learning principles.
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May 27, 2025
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