Last week witnessed a number of exciting announcements from the big data and machine learning space. What it shows is …Continue reading → [Read more...]
This is the initial installment of a weekly post on notable articles on the data-driven trend. Topics covered include self-service …Continue reading → [Read more...]
If you’re following along the SparkR Quick Start, you’ll notice that the instructions are not consistent with a more recent …Continue reading → [Read more...]
I’ll be giving a presentation on Thursday, 8 October on Panoptez, the interactive data analysis platform I’ve been developing. Panoptez …Continue reading → [Read more...]
The MapReduce paradigm has long been a staple of big data computational strategies. However, properly leveraging MapReduce can be a …Continue reading → [Read more...]
This chapter is on what I call fold-vectorization. In some languages, it’s called reduce, though the concept is the same. …Continue reading → [Read more...]
Chapter 3 of my book “Modeling data with functional programming in R” is available for download. This chapter describes map-vectorization …Continue reading → [Read more...]
It’s frustrating when an application unexpectedly dies due to a network timeout or unavailability of a network resource. Veterans of …Continue reading → [Read more...]
Someone asked recently how lambda.r deals with NAs in type constraints. Type constraints are optional decorations on a function that …Continue reading → [Read more...]