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How to Implement Automated Machine Learning Systems with Open Source Tools
- automated feature engineering and/or selection
- automated hyperparameter tuning and architecture search

- Fast reading and distributed data preprocessing/cleaning/formatting
- Highly robust feature selection and leak detection
- Accurate hyper-parameter optimization in high-dimensional space
- State-of-the-art predictive models for classification and regression (Deep Learning, Stacking, LightGBM
- Prediction with models interpretation