“ML tooling” adoption doesn’t follow efficient market dynamics in at least one respect.
This is exactly what I mean.
I think that the ML community is open to switching certain kinds of tools (including the examples you listed) but that other kinds of tools are so far off the community’s radar that data scientists aren’t even aware of their value. This is hard to explain without getting into specifics and I’m not ready to talk about the details yet.
This is exactly what I mean.
I think that the ML community is open to switching certain kinds of tools (including the examples you listed) but that other kinds of tools are so far off the community’s radar that data scientists aren’t even aware of their value. This is hard to explain without getting into specifics and I’m not ready to talk about the details yet.
Got it—I agree discussing further probably doesn’t make sense without a concrete thing to talk about.