Andreas Mueller is a research engineer at the NYU Center for Data Science, building open source software for data science. Previously, he worked as a machine-learning scientist at Amazon, developing solutions for computer vision and forecasting problems. Andreas is one of the core developers of the scikit-learn machine-learning library and has comaintained it for several years. His mission is to create open tools to lower the barrier of entry for machine-learning applications, promote reproducible science, and democratize the access to high-quality machine-learning algorithms.
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