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Exactly my thought when I read this also, and I think it generalizes to a lot of cases where the value of trying to predict something is dubious at best, when t
by cjauvin 7y ago
Exactly my thought when I read this also, and I think it generalizes to a lot of cases where the value of trying to predict something is dubious at best, when there's nothing obvious you can do with the prediction itself.
- Thorentis 7y agoSadly, many ML comps involve exactly this. Making a predictor for something, where the prediction has no real world value, and even dubious value at a thought experiment level. I think one of the biggest skills to have in the ML space, is knowing what is worth training a model to know, and what isn't. Just like in engineering, the most successful products are those that solve a real world problem, no matter how elegantly the others might have been made.