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The ultimate litmus test for any ML system is whether it impacts the bottom line of a company and the best and most direct place to prove this is in the financial markets with a hedge fund for example.


The proper test for a ML learning system is one that you would expect the average human with 140-160 IQ and 5 years of experience to fail at performing manually? Because most active portfolio managers do not beat the market.


Isn't that the ultimate test of any system developed for a company? How does that have anything to do with the article?


Hedge funds are extraordinarily unrepresentative companies.




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