Today Kate Storey-Fisher (NYU) and I led a tutorial at the beginning of the big NeurIPS machine-learning meeting. Our title was Machine learning for Astrophysics and Astrophysics Problems for Machine Learning. We used our forum to advertise astronomy problems to machine-learning practitioners: We astronomers have interesting, hard problems, and our data sets are free! We made public Jupyter notebooks that download data samples to give the crowd a taste of what's available, and how easy it is to get and munge into form.
Our slides are here and our four notebooks (for four different kinds of data) are here, here, here, and here. We got good audience interactions, including especially a group of great astronomers who helped answer questions in the chats!
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