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R & Scala for fast in-memory predictions on Hadoop via H2O!

Take R and Scala to Big Data using in-memory Algorithms from H2O.
In this Triple Header for SF Big Data Science

Anqi Fu, our resident R wiz, will present data munging and R adhoc analytics at scale. Be prepared for fireworks with R in RStudio and not a ton of powerpoint.

Scala has reached tremendous adoption amongst Machine learning & Data Science users. Our customers have spoken and we obliged with a simple interface.

Michal Malohlava, the original DSLinguist and backpacker through Random Forests, presents Scala API for H2O and a bold roadmap that will bring Scalding and bring extensibility to in-memory prediction engine to Scala users.

Tom Kraljevic, the black-magic man who simplifies complex systems, will present some original hadoop-smithy & wicked design that simplifies integrating in-memory services like H2O, on YARN & Hadoop.

(btw, Tom is also the VP of Engineering @h2oai,
So meet him before / after for drinks & println(“Hello, World!”); )

Join us for an evening of fun with Data & Languages!