Sept. 6, 2023, 9:15 p.m. | /u/_puhsu

Machine Learning

I've been hearing lately that NNs are better than GBDTs when scaled up alot:

* Uber [](
* Stripe [](
* Most CTR papers coming from google are also NN based (like [](
* Meta mentions NNs in their recommender system (also kind of a large scale tabular problem there) [](
* Lyft forecasting [](

What's your intuition on DL vs GBDT on (very)large-scale tabular datasets? Have you heard of other such examples (or the reverse)?

Are there any particularly …

data datasets examples hearing intuition machinelearning nns scale tabular tabular data test

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