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While all the answers here are on point, I'd like to add a new perspective to this. You can view common data augmentation techniques as rounding out your data's distribution curve. That is to say - if some feature of your data set should look like a gaussian curve, but does not just yet, data augmentation techniques would help increase the data samples and ...


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