Szilard Pafka
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| title | conference | date |
|---|---|---|
| Gradient Boosting Machines (GBM): from Zero to Hero (with R and Python code) | Data Con LA 2020 | 2020-10-23 |
Claims GBMs usually beat deep learning on structured/tabular business data and are easy to run: demos use xgboost lightgbm and h2o from R and Python on an… | ||
| Better Than Deep Learning: Gradient Boosting Machines (GBM) | Berlin Buzzwords 2019 | 2019-06-16 |
Gradient boosting routinely outperforms neural nets on relational tabular data: use xgboost, lightgbm, h2o and expect to tune learning rate, tree depth and… | ||
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