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Some (or maybe a lot depending on your environment and domain) data "scientists" focus more on analyzing/processing data than reviewing the state-of-the-art and
by mrbungie 4y ago
Some (or maybe a lot depending on your environment and domain) data "scientists" focus more on analyzing/processing data than reviewing the state-of-the-art and main ideas/discussions about the domain in question. Quite amusing, but even more amusing is that those backward ways of studying a subject almost always introduce biases.
- BeFlatXIII 4y agoOn the other hand, reviewing raw statistical correlations can also uncover relations which theory in the field say cannot exist.
- mrbungie 4y agoYeah, sure. I'm not saying quantitative methods are not useful. Just that checking the field's SOTA and theory is an important first step that facilitates hypothesis making, even if those hypothesis are an alternative to what knowledge already exists in the field.
- BeFlatXIII 4y agoWe seem to have opposite approaches to when hypotheses are formed—look at data, then form hypotheses vs. understand SOTA to form a hypothesis before looking at the data.