Presented By O'Reilly and Cloudera
Make Data Work
March 13–14, 2017: Training
March 14–16, 2017: Tutorials & Conference
San Jose, CA
Jeffrey Yau

Jeffrey Yau
Vice President of Data Science, Silicon Valley Data Science

An expert in quantitative modeling with a strong background in finance, Jeffrey Yau has over 17 years of experience applying econometric, statistic, and mathematical modeling techniques to real-world challenges. As vice president of data science at Silicon Valley Data Science, Jeffrey has a passion for leading data science teams in finding innovative solutions to challenging business problems.

Sessions

2:40pm3:20pm Thursday, March 16, 2017
Real-time applications
Location: 210 A/E Level: Advanced
Secondary topics:  Financial services, Hardcore Data Science, IoT, Streaming
Jeffrey Yau (Silicon Valley Data Science)
Average rating: ***..
(3.20, 5 ratings)
Thanks to frameworks such as Spark's GraphX and GraphFrames, graph-based techniques are increasingly applicable to anomaly, outlier, and event detection in time series. Jeffrey Yau offers an overview of applying graph-based techniques in fraud detection, IoT processing, and financial data and outlines the benefits of graphs relative to other techniques. Read more.