Python: Machine learning and natural language processing
How to use off-the-shelf unsupervised machine learning, natural language processing, and outlier detection algorithms to find and visualize patterns in data. Sample data includes the Internet Research Agency Facebook Ads released by the Democrats on the House Intelligence Committee.
This session is good for: People who have intermediate Python knowledge.
Jeff Kao is a computational journalist at ProPublica. He previously worked as a machine learning engineer at Atrium LTS, where he developed natural language processing systems for legal services. He holds a law degree from Columbia Law School, where he was the editor-in-chief of the Columbia Science and Technology Law Review, and a bachelor’s degree in systems design engineering from the University of Waterloo.
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