“The most exciting phrase to hear in science, the one that heralds new discoveries, is not ‘Eureka!’ but ’That’s funny…’” -Isaac Asimov
This is a talk about the wonderful things that happen when you chase down anomalies in your data. When an experiment produces counterintuitive results, or a lovely relationship in your data is spoiled by outliers, a natural tendency is to toss the result aside and try again. But when you take the time to truly understand anomalous results, often one of two things happens: either you destroy your hypothesis, or you make it bulletproof.
John has been extracting value from large datasets for over 20 years at hedge funds, small data-driven startups, Amazon, and now Pinterest. He has deep experience in machine learning, data visualization, on-line experimentation, website performance and real-time fault analysis. An empiricist at heart, “Just do the experiment!” is his favorite call to arms.
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