Brought to you by NumFOCUS Foundation and O’Reilly Media Inc.
The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
Andreas Mueller

Andreas Mueller
Lecturer in Data Science, 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.


9:00am–12:30pm Wednesday, August 23, 2017
Usage and application
Location: Concourse A Level: Beginner
Andreas Mueller (Columbia University)
Average rating: *****
(5.00, 2 ratings)
Andreas Müller walks you through a variety of real-world datasets using Jupyter notebooks together with the data analysis packages pandas, seaborn, and scikit-learn. You'll perform an initial assessment of data, deal with different data types, visualization, and preprocessing, and build predictive models for tasks such as health care and housing. Read more.
11:05am–11:45am Thursday, August 24, 2017
Extensions and customization
Location: Murray Hill Level: Intermediate
Andreas Mueller (Columbia University)
Average rating: ****.
(4.00, 2 ratings)
The Jupyter Notebook can combine narrative, code, and graphics—the ideal combination for teaching anything programming related. That's why Andreas Müller chose to write his book, Introduction to Machine Learning with Python, in a Jupyter notebook. However, going from notebook to book was not easy. Andreas shares challenges and tricks for converting notebooks for print. Read more.
2:40pm–3:20pm Thursday, August 24, 2017
Location: O'Reilly Booth - Table 2
Andreas Mueller (Columbia University)
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. Read more.