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The argument is you can design a model, check that it runs, then submit the job to train / evaluate the model on real data. The data scientist doesn't necessari
by lettergram 7y ago
The argument is you can design a model, check that it runs, then submit the job to train / evaluate the model on real data. The data scientist doesn't necessarily need to touch the real data ever (especially if ML is used).
- tomrod 7y agoThis is not a great setup if one requires a model that can extrapolate.