Data Minds #2 — Andreas Mueller

Published in

Data Minds

2 min readJan 5, 2017

Andreas Mueller, Artificial Intelligence and DS at Columbia University.

In this episode, you will meet Andreas Mueller and learn about his passion for:

Andreas Mueller is a lecturer at the Data Science Institute at Columbia University, he is author of the O’Reilly book “Introduction to machine learning with Python”, he is a Software Carpentry instructor and he is one of the core contributors to the scikit-learn machine learning library.

Andreas holds a doctorate in Computer Vision from the University of Bonn in Germany.

Show Notes / What You’ll Learn

Childhood dreams
First programming languages
College and pure math
Soccer playing robots, the robot master, deep learning and the transition to computer vision , self guided PhD
First open source project
Getting started with scikit-learn and the NIPS conference
Democratizing Machine Learning
Scikit-learn examples: Banks, Spotify and Bit.ly
Opportunities for new and improved data science tools (blackbox ML, understandable ML, visualization, etc.)
Favorite data visualization tool
Andreas’s new book: Introduction to Machine Learning with Python
Advice to aspiring data scientists (type of data scientist and type of role)
What is a data scientist?
Advice on becoming a better data scientist
Python Vs. R — different use cases, pros and cons
Software Carpentry. Making code (from academia) more reliable and reproducible.
The need for peer code review in academia
DS pet peeves
Deep learning in the next 5 years
Books that Andreas gives as gifts
Personal definition of success
Who to emulate
Advice to 20 Year Old Self
Machine Learning: Theory vs. Practice
Other people to interview

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