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Why is machine learning in finance so hard? (hardikp.com)
4 points by hardikp 207 days ago | 1 comment


1 point by platform 190 days ago | link

I think ML is hard for anything, were incorrect/unexplaineable results can cost lots of money, or even physical damage.

Which is why 'ML in <DomainX> so hard', where the DomainX are: Medicine, day trading, autonomous vehicles, military and counter-terrorism operations, cyber-security activity attribution

Vs domains such as Consumer sentiment detection, some image recognition, satisfaction analysis, etc. Because those domains do not penalize heavily for over-sold/under delivered promises.

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