Presented By O'Reilly and Cloudera
Make Data Work
September 26–27, 2016: Training
September 27–29, 2016: Tutorials & Conference
New York, NY

Office Hour with Andreas Mueller (NYU)

Andreas Mueller (Columbia University)
3:45pm–4:25pm Wednesday, 09/28/2016
Location: O'Reilly Booth (Table B)

Join Andreas to discuss machine learning, data science—in particular with Python—and using scikit-learn.

Photo of Andreas Mueller

Andreas Mueller

Columbia University

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.