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2019 US Open Predictions: Doubling Down on the Data

DataRobot Blog

We started with the result of every match (and set scores) for ATP and WTA tour matches from 2010 through 2018. Once we had built this prediction model , we could take the draw of any tournament and simulate the results 100,000 times to find out how often each player would win with that particular draw. Andrew received his Ph.D.

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The Artificial Intelligence Opportunity: A Camel to Cars Moment

Occam's Razor

I’ve covered AI earlier: Artificial Intelligence: Implications On Marketing, Analytics, And You. The team at Google adopted the strategy of having a robot learn own its own (rather than programming it with pre-configured models). If you’ve not read that post, I do encourage you to do so as it will have valuable context.