PwC used big data and machine learning to pick a Melbourne Cup winner — here’s what it said

Artificial intelligence is hot right now. The data boffins at PwC, naturally, applied it to picking some Melbourne Cup winners. PwC explains: “Algorithms, including decision trees and their ensemble counter-parts use historical race results to ‘learn’ the complex relationship between a horse’s characteristics (weight, age, trainer etc.) and its most-likely finishing place or probability of winning.” Who knows what decision trees and the ensemble counter-parts are of an algorithm, but basically a robot is doing the picking. And the result: Fame Game, followed by Preferment, Trip to Paris, Almoonqith, and Who Shot Thebarman. Here’s the chart: They’ve run some other models and you can see them all here. If a robot can pick this it will either ruin all the fun or make a small number of secretive people insanely…


Link to Full Article: PwC used big data and machine learning to pick a Melbourne Cup winner — here’s what it said

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