Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore
Andreas Mueller

Andreas Mueller
Maintainer | Core Contributor, NYU, scikit-learn

Website

Andreas Mueller received his PhD in machine learning from the University of Bonn. After working as a machine learning researcher on computer vision applications at Amazon for a year, he recently joined the Center for Data Science at New York University. In the last four years, he has been maintainer and one of the core contributors of scikit-learn, a machine learning toolkit widely used in industry and academia, and author and contributor to several other widely-used machine learning packages. His mission is to create open tools to lower the barrier of entry for machine learning applications, promote reproducible science, and democratize access to high-quality machine learning algorithms.

Sessions

9:00am–12:30pm Tuesday, 12/01/2015
Data Science and Advanced Analytics
Location: 331 Level: Intermediate
Andreas Mueller (NYU, scikit-learn)
Average rating: ***..
(3.83, 6 ratings)
This talk is a tutorial for the machine learning library scikit-learn in Python. It starts with a short introduction into what machine learning is, and then dives in-depth into how to use scikit-learn in practice. The tutorial will be in the format of an IPython notebook and includes exercises. Read more.
2:20pm–3:00pm Wednesday, 12/02/2015
Office Hours
Location: Table A (Office Hours)
Andreas Mueller (NYU, scikit-learn)