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By H2O.ai Team | minute read | September 11, 2013
Since we've been fooling around with the MNIST data set quite a bit lately (Spence is using it in benchmarking), I've been following the leaderboard and methods for the ongoing Kaggle competition around the same data. It's really amazing to see what people come up with. But of course, the purpose of H2O is entirely that one need not devote days on end to finding clever tricks with limited generalizability to other predictive problems. So while Spence benchmarks speed, I made short work of a submission that let H2O do all of the heavy lifting, to get a sense of how we're doing on predictive power for real. In the time it took me to grab take-out and coffee H2O built a a model of 500 trees (on our server with 20g memory. It would take a bit longer on my computer with an allocation of less memory), generating a submission with less than 5% prediction error – all in all, not a bad lunch break.
At H2O.ai, democratizing AI isn’t just an idea. It’s a movement. And that means that it requires action. We started out as a group of like minded individuals in the open source community, collectively driven by the idea that there should be freedom around the creation and use of AI.
Today we have evolved into a global company built by people from a variety of different backgrounds and skill sets, all driven to be part of something greater than ourselves. Our partnerships now extend beyond the open-source community to include business customers, academia, and non-profit organizations.
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