Meet H2O Driverless AI: Automated Machine Learning
- Predictive AI
- H2O Driverless AI
This short lesson introduces H2O Driverless AI as an automated machine learning platform built to speed up how organizations build predictive models. It highlights automatic feature engineering that explores complex patterns in data, including datasets with a highly imbalanced target, and production-ready models delivered in minutes rather than months, with low-latency inference for real-time predictions. It also flags automatic documentation as a feature built for regulatory compliance, setting up the rest of the course, which covers Driverless AI's workflow step by step.
Key takeaways
- How Driverless AI automates feature engineering to find complex patterns in a dataset
- Why low-latency inference matters for models that need to make real-time predictions
- How automatic documentation supports regulatory compliance without extra manual write-up work
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