Andreas Müller

Andreas Müller

Machine Learning Scientist, Scikit-learn co-maintainer

New York, New York

Areas of Expertise:

  • Machine Learning
  • Data Analysis
  • Scientific Python
  • consulting
  • speaking
  • training

Andreas Müller 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 joined the Center for Data Science at the New York University, and later the Columbia University Data Science Institute. In the last four years, he has been maintainer and one of the core contributor 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 the access to high-quality machine learning algorithms.

Introduction to Machine Learning with Python Introduction to Machine Learning with Python
by Andreas Müller, Sarah Guido
October 2016
Print: $49.99
Ebook: $42.99

Advanced Machine Learning with scikit-learn Advanced Machine Learning with scikit-learn
by Andreas Müller
September 2015
Video: $79.99

Webcast: News from Scikit-Learn 0.16 and Soon-To-Be Gems for the Next Release
April 02, 2015
This webcast will review Scikit-learn, a widely used open source machine learning library in python, and discuss some of the new features of the recent 0.16 release.