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ML is indeed difficult to apply to handicapping especially since flow and trips need to be taken into account -- however, these factors are so subjective. Take other fields where ML systems are applied and experts all say it requires SMEs to interpret the data.
At the end, imho, an ensemble method of algorithms work ok but more importantly a good visualation tool works best. After all--aren't the bris,timeform and drf pps nothing more than data dashboards?
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