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An Astronomers Guide to Machine Learning

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Overview of machine learning applications in astronomy, highlighting light curve and imaging data challenges.

Machine learning significantly enhances the analysis of astronomical data, particularly for time-series light curves.
Effective use of learning algorithms can lead to improved insights in optical imaging data analysis from programs like the DWF.
Awareness of potential pitfalls in machine learning is crucial for astronomers to maximize their productivity and accuracy.
The guide provides online notebooks and examples to effectively demonstrate machine learning techniques in astronomy.

Webb et al. (2023) studied this question.

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