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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
Wendy Chih-wen Kan

Wendy Chih-wen Kan
Data Scientist, Kaggle

Wendy Kan is a data scientist at Kaggle, the largest global data science community, where she works with companies and organizations to transform their data into machine learning competitions. Previously, Wendy was a software engineer and researcher. She holds BS and MS degrees in electrical engineering and a PhD in biomedical engineering.


5:00pm–5:40pm Thursday, August 24, 2017
Reproducible research and open science
Location: Murray Hill Level: Beginner
Megan Risdal (Kaggle), Wendy Chih-wen Kan (Kaggle)
Average rating: ****.
(4.50, 2 ratings)
Kaggle Kernels, an in-browser code execution environment that includes a version of Jupyter Notebooks, has allowed Kaggle to flourish in new ways. Drawing on a diverse repository of user-created notebooks paired with competitions and public datasets, Megan Risdal and Wendy Chih-wen Kan explain how Kernels has impacted machine learning trends, collaborative data science, and learning. Read more.