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| Paper: |
Beginners Guide to Machine Learning in Astronomy |
| Volume: |
523, Astronomical Data Analysis Software and Systems XXVIII |
| Page: |
709 |
| Authors: |
Polsterer, K.; Gianniotis, N. |
| Abstract: |
Machine learning has become a key tool to analyze and process complexly structured large datasets. This BoF will be different than the usual BoFs, with the aim of discussing a specific topic. Due to the large request in understanding and learning machine learning techniques at the previously organized ADASS, we will take the opportunity to introduce basic concepts of machine learning. Based on a few examples, different machine learning models will be introduced and their application will be shown.
At the end of the BoF, participants will have a basic understanding of what machine learning is about. To enable the participants to further learn about machine learning and to allow for a broader overview, a list of good online-sources will be provided. |
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