blog

Parallel programming allows you to speed up your code execution - very useful for data science and data processing

Using Python Threading and Returning Multiple Results (Tutorial)

Threading in Python is simple. It allows you to manage concurrent threads doing work at the same time. The library is called “threading”, you create “Thread” objects, and they run target functions for you. You can start potentially hundreds of threads that will operate in parallel. Speed up long running tasks by parallelising and threading computation where you can.

Multiple heatmaps

Self-Organising Maps for Customer Segmentation using R

Self-Organising Maps Self-Organising Maps (SOMs) are an unsupervised data visualisation technique that can be used to visualise high-dimensional data sets in lower (typically 2) dimensional representations. In this post, we examine the use of R to create a SOM for customer segmentation. The figures shown here used use the 2011 Irish Census information for the …

Self-Organising Maps for Customer Segmentation using R Read More »

Data Science Videos from Dublin WebSummit 2013

The Web Summit, Europes largest technology-industry conference was held in Dublin this week. An annual event since 2010, the Web Summit attracted over ten thousand visitors from over 90 countries. The Web Summit puts Ireland on the international startup and internet scene. With speakers like Elon Musk (founder of Paypal, SpaceX, and Tesla) and representatives from …

Data Science Videos from Dublin WebSummit 2013 Read More »