arXiv · 2211.16782
Panel Discussion: Practical Problem Solving for Machine Learning
Abstract
Machine Learning is a powerful tool for astrophysicists, which has already had significant uptake in the community. But there remain some barriers to entry, relating to proper understanding, the difficulty of interpretability, and the lack of cohesive training. In this discussion session we addressed some of these questions, and suggest how the field may move forward.
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Guillermo Cabrera, Sungwook E. Hong, Lilianne Nakazono, David Parkinson, Yuan-Sen Ting. 2022-11-30. Panel Discussion: Practical Problem Solving for Machine Learning. https://doi.org/10.1017/s1743921322003647
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