Exploring patterns in data is a fundamental part of analysis. One approach is to organise the data into themes or clusters. Cluster analysis is very popular but there is a bewildering variety of methods. The choice depends on the problem at hand - the best algorithm for one particular dataset …
Part II of our blog on the 4th Data Science Show & Tell focuses on sentiment analysis. Sentiment analysis is described as the use of machine learning techniques to extract information from unstructured source materials, such as tweets, blogs etc. There …
On the 19th February 2015, GDS hosted the 4th Data Science Show & Tell. The topics of discussion ranged from galaxy classification to data journalism. David Bonfield, an ex-astronomer and a current data scientist at BIS, demonstrated a technique called …
December 11th 2014 saw GDS host data analysts from across government at the 3rd Data Science Show & Tell. Interest was high yet again, with enthusiastic participation in the many exciting discussions, one of which was on the topic of …
In a world where online surveys are often distributed to understand user needs, the main challenge is no longer the gathering of data but dealing with the vast quantities of responses. When faced with such a daunting analysis task, the …