When I started competing on Kaggle on tabular problems many years ago, the standard solution was always to train a big ensemble of models such as gradient boosted trees and related models, coupled… | Philipp Singer
0:38
linkedin.comPhilipp Singer
When I started competing on Kaggle on tabular problems many years ago, the standard solution was always to train a big ensemble of models such as gradient boosted trees and
When I started competing on Kaggle on tabular problems many years ago, the standard solution was always to train a big ensemble of models such as gradient boosted trees and related models, coupled with rigorous feature engineering and hyperparameter tuning. I have always argued, usually against the room, that deep learning has enormous ...
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