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Last Updated: June 6, 2026
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Automatic Feature Engineering with Driverless AI
Explainable AI in H2O Driverless AI in 7.5 Minutes
Time Series with Driverless AI - Marios Michailidis and Mathias Müller - H2O AI World London 2018
Feature Engineering for AI: Transforming Raw Data into Predictions
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Dmitry Larko, Kaggle Grandmaster and Senior Data Scientist at H2O. Patrick Hall walks you through the MLI capabilities within H2O Ready to become a certified watsonx Data Scientist? Register now and use code IBMTechYT20 for 20% off of your exam ... This video was recorded in San Francisco on February 5th, 2019. Slides from the talk can be viewed here: ... This video was recorded in San Francisco on February 5th, 2019. Slides from the session can be viewed here: ... This video was recorded at H2O World 2018 NYC on June 7th, 2018. Slides from the talk can be viewed here: ...
0:00 Introduction 10:41 H2O-3 - Open Source Distributed Machine Learning 11:43 H2O This video was recorded in San Francisco on February 4th, 2019. Slides from the session can be viewed here: ... ... Intro to Feature Engineering with H2O-3: Target Encoding 35:20 - Intro to Arno Candel, CTO at H2O.ai, discusses custom hierarchical This talk was recorded at H2O World 2018 NYC on June 7th, 2018. The slides from the talk can be viewed here: ...
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