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Wednesday, October 17 • 12:05pm - 12:15pm
QuickCode: Label your training data fast and transparently

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The uses for machine learning are growing at an unprecedented rate. Yet as machine learning applications advance, the lack of good, labeled training data is inhibiting their large-scale adoption. We teach how to generate labeled training data quickly and transparently using QuickCode, a system that recommends labels for text data. Each time the user provides more information, QuickCode rapidly iterates with the user and provides better recommendations. In tests against data that were hand-labeled, QuickCode matched the hand labels with 95% accuracy at a fraction of the time the hand-coding took.

avatar for Patrick Lam

Patrick Lam

Lead Data Scientist, Thresher
Patrick Lam is Lead Data Scientist at Thresher and a Visiting Fellow at the Harvard Institute for Quantitative Social Science. He received his Ph.D. in Political Science and Masters in Statistics from Harvard University in 2013. He has worked on problems involving machine learning... Read More →

Wednesday October 17, 2018 12:05pm - 12:15pm EDT
Deborah Sampson