that they’re “re-inventing” statistics just with different terminology.
To be very clear about it, this is referencing a very common problem with subfields of applied statistics in general; it's not limited to AI/ML! Econometrics, epidemiology, business stats (decision support) and so on and so forth, all tend to come up with their bespoke terminologies and reinventions of statistically basic principles. It would seem entirely appropriate to point that out.
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To be very clear about it, this is referencing a very common problem with subfields of applied statistics in general; it's not limited to AI/ML! Econometrics, epidemiology, business stats (decision support) and so on and so forth, all tend to come up with their bespoke terminologies and reinventions of statistically basic principles. It would seem entirely appropriate to point that out.