Abstract: This session will compare and contrast the capabilities of the open-source H2O-3 platform and the fully automatic platform, H2O Driverless AI. You’ll learn the differences between the two and some of the reasons why you would use one over the other, or both. The session will be using a public Kaggle Insurance Dataset to build real-time models to compare the two platforms.
Bio: Tom Ott is a Senior Customer Solutions Engineer for H2O.ai. He started his career in Engineering working for large transportation firms around the US before transitioning to the startup world in 2014. He comes to H2O.ai from his own Data Science consultancy and RapidMiner. A gritty and seasoned Sales Engineer, he worked across product marketing and community development and learned how to solve complex customer problems. He's a natural-born tinkerer that loves figuring things out and getting it done.