I'm an Aquarium user. There are two ways Aquarium provides value to my company. First, we improved our model performance. Second, I spent less time and less clicks curating my dataset. Regarding model performance, I used Aquarium to improve the AUC for my model by 18 percentage points (i.e., comparing the AUC for the first model trained on my new dataset to the AUC for my production model). Regarding dataset curation…
To second your comment, I think non ML folks don't understand how much of an impact dataset curation can have on model performance. More high-quality data will outshine clever network architectures with less data. I've seen it again and again. But the thing is, it's so hard to really curate your data once the dataset has a lot of "dimensionality" to it (sorry couldn't think of a better word...). To be honest, if I we…
Re: Launch HN: Aquarium (YC S20) – Improve Your ML Dataset Quality
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