Machine Learning in Astrophysics

Submission Number: 204
Submission ID: 4061
Submission UUID: 3c8b9d7e-5b52-4f39-b22a-6fa56569b6cf
Submission URI: /form/resource

Created: Fri, 09/29/2023 - 11:48
Completed: Fri, 09/29/2023 - 11:48
Changed: Fri, 03/14/2025 - 11:43

Remote IP address: 18.29.105.203
Submitted by: Bao Nguyen
Language: English

Is draft: No
Yes
Machine Learning in Astrophysics
Docs
Intermediate
Machine learning is becoming increasingly important in field with large data such as astrophysics. AstroML is a Python module for machine learning and data mining built on numpy, scipy, scikit-learn, matplotlib, and astropy allowing for a range of statistical and machine learning routines to analyze astronomical data in Python. In particular, it has loaders for many open astronomical datasets with examples on how to visualize such complicated and large datasets.
plotting, big-data, image-processing, machine-learning, astrophysics
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