Presented By
O’Reilly + Cloudera
Make Data Work
March 25-28, 2019
San Francisco, CA
Ting-Fang Yen

Ting-Fang Yen
Director of Research, DataVisor

Ting-Fang Yen is the director of research at DataVisor, the leading fraud, crime, and abuse-detection solution using unsupervised machine learning to detect fraudulent and malicious activity such as fake account registrations, fraudulent transactions, spam, account takeovers, and more. She has over 10 years of experience in applying big data analytics and machine learning to tackle problems in cybersecurity. Ting-Fang holds a PhD in electrical and computer engineering from Carnegie Mellon University.

Sessions

5:10pm–5:50pm Wednesday, March 27, 2019
Talking to the machines: Monitoring production machine learning systems
Data Science, Machine Learning & AI
 Location: 2011
Secondary topics:  Automation in data science and big data, Model lifecycle management, Temporal data and time-series analytics
Ting-Fang Yen (DataVisor)
Average rating: ****.
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Ting-Fang Yen details an approach for monitoring production machine learning systems that handle billions of requests daily by discovering detection anomalies, such as spurious false positives, as well as gradual concept drifts when the model no longer captures the target concept. Join in to explore new tools for detecting undesirable model behaviors early in large-scale online ML systems. Read more.