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by ackbar03 1869 days ago
So basically the model was just a single layer neural net with extra proprietary data?
2 comments

Data and meaning is the key.

I had a coworker who would prepare for weeks for stakes races and follow a few second tier horses as well. Twitter made some aspects easier as there is a racetrack Twitter community. His specialty was identifying exactas where a long shot would place or win with a favorite.

He’d pay people to film workout at Belmont and Saratoga and tweak his model (an Excel spreadsheet) based on what he saw. He would have a sense based on the workouts, weather, etc and would pick 4-10 races a week.

Yup! Just a multinomial logistic regression model with a bunch of proprietary data and engineered features.