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- The post recaps a Silicon Valley Big Data Science meetup held at Google's Building 43 in Mountain View.
- Cliff Click of 0xdata presented an API for Big Data Math, showing a vector programming style that runs simple Java for loops in parallel across a cluster.
- Jan Vitek presented on the Distributed Random Forest algorithm implementation for big data in H2O.
- The post states Jan Vitek also discussed the state of the R language and its future prospects for handling big data.
Thanks for attending! Presentations:Cliff’s H2O and API for Big Data Math TalkJanVitek’s talk on Distributed Random Forest Cliff & Jan will present a deep dive into H2O and Hacking Big Data with Math. We locked down the Venue – Google, Building 43, 1600 Amphitheatre Parkway, Mountain View, CA, 94040. Can’t wait for the fireworks! Cliff Click – “An API for Big Data Math” Use a simple giant vector programming style that runs in parallel across a cluster. You can write simple Java for-loops that runs distributed math across a cluster. Jan Vitek – “Random Forest for Big Data and the State of R” Will discuss the use of the Distributed RandomForest algorithm implementation for big data in H2O. He will describe the design, implementation and practical usage of a random forest package for large data sets. Dr. Vitek will also discuss the the state of R where he will talk about the R language, its status and future prospects in the world of big data. http://www.meetup.com/Silicon-Valley-Big-Data-Science/