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Is There a Certain Level of Rigorousness in Data Science?
A lot of it comes down to process. If you have the processes in place, then it becomes very easy. I think unless you're on the very left of that curve that i just described, where rigor isn't that portant, then taking a very scientific approach is always the right answer. And so there's always this tens between balancing the business priorities and needs with the need for rigor. There's no short or easy answer to how you do these things,. It's always a little of an art"