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Ep 14 - Beth Tellman - Cloud2Street, Open Science within a For-Profit Company & The Role of Insurance in Actionable Flood Analytics
Minds Behind Maps
Are You Taking Those Requirements and Making It Better?
Wells: It's very convenient to have a number when we're developing machine learning. He says that once you can measure it, you can iterate and try out new things. But sometimes in order to get to the quanifiable metric, you've got to do silly thing like circling on maps with people who use them for forecasts. Wells: So as a scientist or an engineer, building requirements is part of your job. You need to be able to take those problems and turn them into requirements.
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