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Friday, January 25 • 1:15pm - 1:40pm
Applying Deep Learning to Article Embedding for Fake News Evaluation

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In this talk we explore real world use case applications for automated “Fake News” evaluation using contemporary deep learning article vectorization and tagging. We begin with the use case and an evaluation of the appropriate context applications for various deep learning applications in fake news evaluation. Technical material will review several methodologies for article vectorization with classification pipelines, ranging from traditional to advanced deep architecture techniques. We close with a discussion on troubleshooting and performance optimization when consolidating and evaluating these various techniques on active data sets.

Speakers
avatar for Mike Tamir, Uber ATG

Mike Tamir, Uber ATG

Head of Data Science, Uber ATG
Mike serves as Head of Data Science at Uber ATG, UC Berkeley Data Science faculty, and Director of Phronesis ML Labs. He has led teams of Data Scientists in the bay area as Chief Data Scientist for InterTrust and Takt, Director of Data Sciences for MetaScale/Sears, and CSO for Galvanize... Read More →


Friday January 25, 2019 1:15pm - 1:40pm
Grand Ballroom Hyatt Regency San Francisco, 5 Embarcadero Center, San Francisco, CA 94111, USA