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by cityhall
3271 days ago
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Some ML applications will replicate expert behavior (e.g. document discovery in law) or improve on it (quant trading). A lot of the gains will be at the other end of the skill spectrum though. Universal human abilities like speech and face recognition have made some low-skill jobs harder to automate than expert ones. We've only just invented algorithms that solve those problems adequately. If your vertical ML application is a machine that picks fruit when it's ripe, it's a stretch to call it an expert system. |
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How does the machine recognize fruit? It must have some training data set to classify what is fruit and what is not, and which are ripe. Humans may be "experts" at simple stuff like this. One cannot easily generalize it to a machine that also harvests potatoes, without providing "expert" knowledge about potatoes.