What’s Happening in Driverless AI?

H2O Driverless AI is an automatic machine learning platform that uses feature engineering recipes from some of the world’s best data scientists to deliver highly accurate machine learning models. As part of the automatic feature engineering process, the system uses a variety of transformers to enhance the available data. This section describes what’s happening underneath the hood, including details about the feature engineering transformations and time series and natural language processing functionality.

Refer to one of the following topics:

• Data Sampling

• Driverless AI Transformations

• Internal Validation Technique

• Missing and Unseen Levels Handling

• Imputation in Driverless AI

• Time Series in Driverless AI

• NLP in Driverless AI

• Ensemble Learning in Driverless AI