From AutoML to AutoDS

Andreas Müller

Date: Tuesday, Sep 12, 2023, 14:00 - 14:30


Both the AutoML community, and the wider ML community continue to focus on a very narrow set of tasks for ML, that are quite removed from everyday challenges of a Data Scientist. I will give a brief tour of what I see as mismatches in both tasks and available datasets between practitioners and ML researchers, with pointers to some explorations I have done in recent years, and areas where I think more datasets and more research are necessary.

Andreas Müller is a Principal Research SDE at Microsoft, where he works on the interface of the Data Science ecosystem and cloud infrastructure. He previously held positions as Associate Research Scientist at the Columbia Data Science Institute and as a Research Engineer at the NYU Center for Data Science. He is one of the core developers of the scikit-learn machine learning library, a member of the scikit-learn technical committee, and the author of the book "Introduction to machine learning with Python". His work focuses on practical aspects of machine learning and the development of user-centric machine learning software.