论文标题
小组讨论：解决机器学习的实际问题
Panel Discussion: Practical Problem Solving for Machine Learning
论文作者
论文摘要
机器学习是天体物理学家的强大工具，该工具已经在社区中具有很大的吸收。但是，与适当的理解，可解释性难度以及缺乏凝聚力训练有关的进入仍然存在一些障碍。在此讨论会议中，我们解决了其中一些问题，并提出了该领域如何前进。
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.
