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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Meet the Expert with Andreas Müller (Columbia University)

Andreas Mueller (Columbia University)
2:40pm–3:20pm Thursday, August 24, 2017
Location: O'Reilly Booth - Table 2

Do you have questions on general machine learning or maybe something a little more specific, like Python tools for machine learning, accessible machine learning and data science, automatic machine learning or scikit-learn? Andreas is a great resource; stop by for a chat.

Photo of Andreas Mueller

Andreas Mueller

Columbia University

Andreas Müller is a lecturer at the Data Science Institute at Columbia University and author of Introduction to Machine Learning with Python (O’Reilly), which describes a practical approach to machine learning with Python and scikit-learn. 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. Andreas is one of the core developers of the scikit-learn machine learning library and has been comaintaining it for several years. He is also a Software Carpentry instructor. Previously, he worked at the NYU Center for Data Science on open source and open science and as a machine learning scientist at Amazon.