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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
Rachel Thomas

Rachel Thomas
Co-founder, fast.ai

Website | @math_rachel

Rachel Thomas was selected by Forbes as one of “20 Incredible Women in AI”, was an early engineer at Uber, and earned her math PhD at Duke. She is co-founder of fast.ai, which created the “Practical Deep Learning for Coders” course that over 200,000 students have taken, and she is also a professor at the University of San Francisco Data Institute. Rachel is a popular writer and keynote speaker on the topics of data science ethics, bias, machine learning, and technical education. Her writing has been read by nearly a million people and has made the front page of Hacker News 9×.

Sessions

9:25am–9:45am Thursday, August 24, 2017
How the Jupyter Notebook helped fast.ai teach deep learning to 50,000 students
Location: Grand Ballroom
Rachel Thomas (fast.ai)
Average rating: ****.
(4.67, 3 ratings)
Although some claim you must start with advanced math to use deep learning, the best way for any coder to get started is with code. Rachel Thomas explains how fast.ai's Practical Deep Learning for Coders course uses Jupyter notebooks to provide an environment that encourages students to learn deep learning through experimentation. Read more.