DataTau

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		tomrod 1991 days ago parent \| on: Machine Learning in Production. Where 99% of comp… Some great points made. In my experience, screwups tend to start when - the "prototype" / minimum viable product can't scale. N^2 algorithms have a cost -- and it can be high! - the data source is not-repeatable/updating/lacking lineage
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dcanones 1991 days ago [-]

Yeah, so many models made from a data source that is a .csv that someone updates manually twice a year, no way to put that to production

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