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awesome-astrodata
Awesome list for astronomy data and resources for self-learning
https://github.com/gully/awesome-astrodata
Last synced: about 8 hours ago
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- Statistics, Data Mining, and Machine Learning in Astronomy
- Information Theory, Inference, and Learning Algorithms
- Probabilistic Graphical Models
- Gaussian Processes for Machine Learning
- Data Analysis with MCMC - Mackey
- An Astronomer's Introduction to Gaussian Processes - Mackey
- Tools for Probabilistic Data Analysis in Python - Mackey
- Statistics for Hackers
- Supervised Machine Learning in Astronomy
- A quick tour of machine learning and statistical tools
- Dimensionality reduction
- Model selection and cross validation
- Model comparison
- Gaussian Mixture Models
- Constructing a Flexible Likelihood Function for Spectroscopic Inference
- Data analysis recipes: Fitting a model to data
- AstroHackWeek
- .Astronomy
- AAS Hack Day
- NYU Center for Data Science
- UC Berkeley Institute for Data Science
- UW eScience Institute
- Information Theory, Inference, and Learning Algorithms
- Gaussian Processes for Machine Learning
- A textbook Hogg will never write
- Python Data Science Handbook
- Whirlwind Tour of Python
- Bayesian Astronomy
- Scikit-Learn Tutorial
- Python for Data Analysis
- Astro Hack Week 2014
- Astro Hack Week 2015
- Astro Hack Week 2016
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