Data Science with Python — Hard
Key points
- XGBoost utilizes second-order Taylor expansion and regularization for improved performance
- Column subsampling and cache-aware computation contribute to its speed
- Handling sparse data is a specific technical improvement
- These features collectively make XGBoost faster and more regularized
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