RESEARCH ML ENGINEER, SPRINT VOLUNTEER
Research and development of core Body Labs technology of machine learning methods for inferring physical attributes of humans from various inputs including photos and scans.
SCIKIT-LEAEN CORE CONTRIBUTOR
Nicolas is a postdoctoral researcher at the Data Science Institute of Columbia University in New York. His work is focused on developing and maintaining the scikit-learn library.
Saturday well spent co-organizing another great @WiMLDS_NYC event! Scikit-learn sprint to contribute to open source with @amuellerml! And he brought his awesome @OReillyMedia book for signing! Thank you @StackExchange for hosting us! #python #opensource #ScikitSprint #ml #WiMLDS pic.twitter.com/C5KFEm0kBz
— Noemi Derzsy (@NoemiDerzsy) September 30, 2018
This weekend I contributed to an open source project @scikit_learn @WiMLDS_NYC. It was more challenging than I had expected but I learned so much! Check out @reshamas blog post to get an idea of what the day looked like. Thanks to @StackOverflow for the amazing space 😍 https://t.co/zcmN3imRnE
— Melissa Ferrari (@MelissaFerrari_) October 1, 2018