The Difference Between Logging and Data Science?

In data science, you ready cannot know, like we don't know. We have intuition, but it is static statistics. You need to prove it. That's why, for o, get wip yo. In hyper prmeters, loca, you can always do hyper prmeter timisation. But still, you have to limit it to some space. And iam not only talking about e drift of your input output. I am also talking about more softly related aspecs, monitor. Because model on production is, in fact, a piece of soviter, right? So in this context, wil need those loks more retractib li, an helper.