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Driverless AI speeds up data science workflows by automating feature engineering, model tuning, ensembling and model deployment.
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Speed
- GPU acceleration to achieve up to 40x speedups
- Multi GPU - XGBoost, GLM, Kmeans and more
- Run thousands of iterations that drive utilization to achieve best performance
Accuracy
- Automatic feature engineering to increase accuracy - AlphaGo for AI
- Automatic Kaggle Grandmaster recipes in a box for solving wide variety of use-cases
- Automatic machine learning to find and tune the right ensemble of models
Interpretability
- Interpretability for debugging, not just for regulators
- Get reason codes and model interpretability in plain english
- K-Lime, LOCO, partial dependence and more
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