dkirkby/MachineLearningStatistics
Machine learning and statistics for physicists
This resource provides educational materials for physicists to learn how to apply machine learning and statistical methods to their research. It offers Jupyter notebooks with exercises that take physics-related data or problems and demonstrate how to analyze them using these advanced computational techniques. This is ideal for physics students, researchers, or faculty looking to enhance their analytical toolkit.
102 stars. No commits in the last 6 months.
Use this if you are a physicist who wants to learn and practice applying machine learning and statistical methods to solve problems in your field.
Not ideal if you are looking for a plug-and-play software tool or if your primary field is outside of physics.
Stars
102
Forks
54
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
Apr 15, 2021
Commits (30d)
0
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