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Policing the Stock Market with Machine Learning
Recorded at:

| by Cliff Click Follow 1 Followers on Mar 28, 2017 |
45:11

Summary
Cliff Click talks about SCORE, a solution for doing Trade Surveillance using H2O, Machine Learning, and a whole lot of domain expertise and data munging. SCORE pulls in private and public market data and in a few minutes will search it for all sorts of bad behavior. It then filters down the billions of rows of data down to human scale with some great visualizations.

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Bio

Cliff Click is the CTO of Neurensic, and before that the CTO and co-founder of h2o.ai. He wrote his first compiler when he was 15 although his most famous compiler is the HotSpot Server Compiler. He helped Azul Systems build an 864 core pure-Java mainframe that keeps GC pauses on 500Gb heaps to under 10ms, and worked on all aspects of that JVM.

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