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Re. 2) Then you end up doing feature engineering. For applications where you don't know the data generating process it is often better to just throw everything
by esafak 2y ago
Re. 2) Then you end up doing feature engineering. For applications where you don't know the data generating process it is often better to just throw everything at the model let it extract the features.
- benrutter 2y agoI don't disagree in the context of the current tools. But this has always been a bugbear of mine- data science has an unhealthy bias towards modeling over data preperation. I'd love to see tools in the ecosystem around extracting relevant features that then can be used on a lower cost, more predictable model.
- esafak 2y agoThere are feature management platforms like https://featurebyte.com/ https://featurebyte.com/