Distributed Gradient Boosting Machine for Big Data

Gradient Boosting Machine is one of the most powerful algorithms in Machine Learning! Our customers and community has spoken & H2O has implemented it to be at once multi-core & high-scale. Learn about this algorithm in layman terms, and Run/Live Demo from familiar setting of R.

Earl Hathaway, our resident datascientist, will present where it is applicable, and we can review recent KDD & Kaggle winners.

Cliff Click will present about implementation and design choices of a Distributed GBM, demonstrating the power of the Algorithm on Big Data.

http://en.wikipedia.org/wiki/Gradient_boosting

(moving for bigger venue + one more speaker)