The Experimentation Side of Machine Learning?

Yelik has an entire experimentation platform that's built up around the concept of those a, b test experimentations for oline s m essentially confirming that a model not only performs well off line with those metrics, but actually generates more revenue or leads to more cliqus. So we have an entire team Actually that works on a platform do manage that and measure those mine metrics once it's being served in our machine learning platform. And so this sort of gives you a chooser adventure, sort of paradine where a rear you can't complain, right? Like you want simple, just use tenser flo you want custom, then you need do a bit more work in order to support

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