Driverless AI: Your Expert System for AI

Name: Driverless AI: Your Expert System for AI
Uploaded: 2022-03-18
Duration: 50 min
Description: Sri Ambati and Arno Candel introduce a Driverless AI release built on GPU speed, Kaggle Grandmaster recipes, and a new interpretability suite.

Observability
H2O Driverless AI

Overview

H2O.ai CEO Sri Ambati and CTO Arno Candel introduce a major Driverless AI release focused on GPU-accelerated speed, Kaggle Grandmaster-built recipes, and a new machine learning interpretability (MLI) suite. The session covers moving gradient boosting and clustering algorithms onto GPUs for large speedups, then a live demo of MLI's surrogate models, reason codes, and automatic English explanations for a credit-default model. The team also walks through Docker-based installation and takes audience questions on clustering, licensing, and Kaggle usage.

Key takeaways

How H2O.ai moved gradient boosting, GLM, and k-means clustering onto GPUs, with speedups shown live (up to 40x on a GLM example)
Why Kaggle Grandmaster techniques like target encoding are built into Driverless AI as automated recipes, and the leakage risk if they're done incorrectly
How the machine learning interpretability (MLI) suite explains a live credit-default model using a surrogate decision tree, reason codes for individual predictions, and automatically generated English explanations
How the K-LIME and partial dependence views let you compare a single prediction against the global population to see which features drove it
How to install Driverless AI as an Nvidia Docker image, including the setup steps and run command

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