Re:MLOps is a mess but that's to be expected
by discordance on Thursday March 03, 2022 @02:13AM
(#30538061)
You're totally right. All of the ML hype out there isn't helpful either.
The hardest part for me is not the tooling or processes, but ironing out expectations, assumptions, what can and can't be done (or what's worthwhile) with ML.
Getting to a common understanding about metrics and outcomes with an end user / customer can chunks of time out of a project.
The hardest part for me is not the tooling or processes, but ironing out expectations, assumptions, what can and can't be done (or what's worthwhile) with ML.
Getting to a common understanding about metrics and outcomes with an end user / customer can chunks of time out of a project.