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- The post announces a 2013 meetup at Trulia, held with food and beer, where 0xdata presented on its Distributed GBM implementation.
- Earl Hathaway, a 0xdata data scientist, was scheduled to discuss which problems GBM applies to and review recent KDD and Kaggle competition wins.
- Cliff Click, 0xdata's CTO, was scheduled to present on the implementation and design choices behind a distributed version of GBM.
- The post states 0xdata built its Distributed GBM as an R accessible extension to the open source H2O platform.
Hi hackers! Just a quick reminder we’ll be joining our friends at Trulia tomorrow for a meetup on machine learning discussing Distributed GBM.
GBM is one of the most popular machine learning algorithms used in data mining competitions. Most of us use GBM through R implementation. However, we have recently written a distributed version for their open source h2o platform, and in the process become quite the experts on the algorithm! We are excited to share our knowledge. Abstract Earl Hathaway, 0xdata resident data scientist, will present on what types of problems GBM is applicable, and review recent KDD & Kaggle wins that used it. Cliff Click, 0xdata CTO, will present about implementation and design choices of a Distributed GBM. Schedule 6:30 – 7:00pm Social (food + beer served) 7:00 – 8:30pm Talks 8:30 – 9:00pm Social
Get the details and register online at http://www.meetup.com/Data-Mining/events/143859992/ See you there!