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Predictive Analytics World Workforce (May 14-18 in San Francisco) is pleased to announce the Weird Science Keynote by Eric Siegel, How to Know Your Predictive Discovery Is Not BS.
The founder of the Predictive Analytics World conference series and executive editor of The Predictive Analytics Times, makes the how and why of predictive analytics understandable and captivating. Dr. Siegel is the author of the award-winning Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, educator, and leader in the field.
Join us on Wednesday, May 17, 2017 in San Francisco when Eric presents:
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How to Know Your Predictive Discovery Is Not BS
"An orange used car is least likely to be a lemon." At least that's what was claimed by The Seattle Times, The Huffington Post, The New York Times, NPR, and The Wall Street Journal. However, this discovery has since been debunked as inconclusive. As data gets bigger, so does a common pitfall in the application of standard stats: Testing many predictors means taking many small risks of being fooled by randomness, adding up to one big risk. John Elder calls this issue vast search. DR. Siegel will cover this issue and provide guidance on tapping data's potential without drawing false conclusions.
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Come prepared to learn how to protect yourself from the embarrassment of overfitting, false positives, and career-limiting negatives.
Witness this fascinating keynote presentation and the full agenda of sessions of packed information at Predictive Analytics World Workforce in San Francisco by signing up today.
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