We would like to share a programming article we wrote on the automatic detection of potential deadlock.
Our friends at Dataspora have a nice article on the more modern Map Reduce languages. A very good read and clearly a lot of thought went into preparing it.
Note February 11, 2020: this articles is out of date, we suggest using the methods of Using PostgreSQL in R: A quick how-to instead. We discuss a “medium scale data” technique that we call “SQL Screwdriver.” Previously we discussed some of the issues of large scale data analytics. A lot […]
Living in the age of big data we ask what to do when we have the good fortune to be presented with a huge amount of supervised training data? Most often at large scale we are presented with the un-supervised problems of characterization and information extraction; but some problem domains […]
We extend the ideas of from Automatic Differentiation with Scala to include the reverse accumulation. Reverse accumulation is a non-obvious improvement to automatic differentiation that can in many cases vastly speed up calculations of gradients.
This article is a worked-out exercise in applying the Scala type system to solve a small scale optimization problem. For this article we supply complete Scala source code (under a GPLv3 license) and some design discussion.
Having worked with Unix (BSD, HPUX, IRIX, Linux and OSX), Windows (NT4, 2000, XP, Vista and 7) for quite a while I have seen a lot of different software tools. I would like to quickly exhibit my “must have” list. These are the packages that I find to be the […]