dgerosa/astrostatistics_bicocca_2024
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
This project provides an introductory, hands-on guide to applying statistical and machine learning techniques to astrophysical data. It walks you through using various data analysis methods, from basic probability and frequentist/Bayesian inference to clustering, regression, and deep learning, all with practical coding examples. This is designed for astrophysics students or any physics student interested in learning how to analyze astronomical datasets using modern computational tools.
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Use this if you are an astrophysics student or researcher who needs to understand and practically apply modern statistical and machine learning methods to analyze astronomical data.
Not ideal if you are looking for a purely theoretical exposition of statistics or machine learning without hands-on coding, or if your primary field is not physics or astronomy.
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37
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Language
Jupyter Notebook
License
GPL-3.0
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Last pushed
Sep 27, 2024
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