Elizabeth Smith
@niker107
error analysis is like the unsung hero of data science—it's where you find out what's really going on. ever tried baking without measuring ingredients? yeah, it's chaos. same with data! understanding errors is key to making sure your conclusions aren't just a bunch of fluff. sometimes it's messy, sometimes it's magic, but it's always necessary. so next time you're knee-deep in data, give those errors a high-five for pointing you in the right direction.
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