Isolation Forests in H2O.ai

A new feature has been added to H2O-3 open source, isolation forests. I've always been a fan of understanding outliers and love using One Class SVM's as a method, but the isolation forests appear to be better in finding outliers, in most cases....

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Introduction to Driverless AI from H2O.ai

I finally posted a new video on my YouTube channel after a year of no activity. It felt good and is part of my 'content refresh' project I'm working on. In this video I do an introduction to Driverless AI and its EDA capabilities. The forthcoming...

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Model Governance & Explainable AI

Patrick Hall of H2O.ai leads a discussion panel on model governance and explainable AI. It's close to two hours of a great discussion of a very complex but important topic.

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Interpretable Machine Learning with RSparkling

Last evening my colleague Navdeep Gill (@Navdeep_Gill_) posted a link to his latest talk titled "Interpretable Machine Learning with RSparkling." Navdeep is part of our MLI team and has a wealth of experience to share about explaining black boxes...

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Interpreting Machine Learning Models

I found this short 8 minute video from H2O World about Machine Learning Interpretability (MLI). It's given by Patrick Hall, the lead for building these capabilities in Driverless AI. https://youtu.be/jlS9HGNNROQ My notes from the video are below:...

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Driving Marketing Performance with H2O Driverless AI

I watched this great video of G5 explaining how they use H20-3, AutoML, and Driverless AI to build an NLP model and put it in production. Really cool. It uses the AWS stack and AWS Lambda. My summary notes below: G5 started with zero in ML and in...

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