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Your personal failure to use ML successfully has no bearing on its wider deployment and success. Overfitting strongly implies that you or whoever was doing it j
by jncfhnb 2y ago
Your personal failure to use ML successfully has no bearing on its wider deployment and success. Overfitting strongly implies that you or whoever was doing it just didn’t know what they were doing.
ML is used everywhere.
- pydry 2y agoWow, salty :) How many ML projects for large businesses have you been on?
- jncfhnb 2y agoDozens. I’m a consultant and it’s what I do. The modeling is very easy. The operational changes are the hard part. Basically any random task of. A sort of maintenance, production, replacement, procurement or scheduling task can save 10-30% with a simple model. There’s a long way to go but this stuff is everywhere. The world hasn’t even fully realized the productivity value of spreadsheets and email.
- m_rpn 2y agoEmail summarizers and such don't count as revolution, sorry.