Debraj GuhaThakurta discusses ML and data analysis processes in Spark using examples written in Python and R.
Matthew Renze introduces the R programming language as well as demonstrates how R can be used to create data visualizations to complete day-to-day developer tasks.
Jeroen Janssens discusses several tricks for polyglot programmers helping to mix and match different languages and tools in a project.
William Markito Oliveira and Fred Melo discuss the architecture and implementation details of a stock prediction solution built entirely on top of open source code and some R and a web interface.
Matthew Renze introduces the R programming language and demonstrates how R can be used for exploratory data analysis.
Indrajit Roy presents HP Labs’ attempts at scaling R to efficiently perform distributed machine learning and graph processing on industrial-scale data sets.
Jonathan Seidman and Ramesh Venkataramaiah present how they run R on Hadoop in order to perform distributed analysis on large data sets, including some alternatives to their solution.