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 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 @hexadata,
So meet him before / after for drinks & println("Hello, World!");)
Join us for an evening of fun with Data & Languages!