A financial example would be that some models are designed to be particularly tractable when those in the know could use a tool like autodiff to make a more sophisticated model more usable at the same scale
Who knows if the way you interpreted these 6 random words is even in line with what the author had in mind though? It so needs fleshing out that it borders on meaningless.
Minimal Viable Products over prototypes
What’s the difference?
APIs over databases
I feel like this is a terrible decision that has nothing to do with data science.
Clever use of computation over convenient assumptions
Why not both?
Dashboards over reports
Dislike this as well. Dashboards don’t contain analysis.
Validation, scrutiny and repeatability over convention and ad verecundiam
Sure, but this is not controversial