The GOV.UK feedback form was receiving a lot of spam requests. We developed a machine learning model to detect spam responses — here is how we created it.
...that closely matches the real dataset but does not contain exactly the same entries simulation: generating part or all of the dataset that is similar in essential ways to the...
...presented a pilot app using machine learning to assist triaging in accident and emergency. Queen’s Hospital sees over 290,000 emergency department admissions per year. The app aims to support NHS...
...to make an analogy – is simply a computer in the cloud. You can use it to install code libraries, run your machine learning and store the results somewhere. Virtual...
...speed up our approach we wrote code as a software package on Github that enabled us to run the analysis instantly upon experiment completion. This initial early investment into automation...
Read about Natural Language Processing projects happening in data science teams across government
...by users clicking from one page to visit another and, finally, by their semantic similarity. Publishers define the structural network When publishers create a new piece of content they include...
Representing text as vectors We can represent the text on each GOV.UK page as a semantic vector. This is denoted by a list of numbers, which conveys information about the...
We're using supervised machine learning to organise all the content on GOV.UK, which means we can do things like create step by step journeys and consider voice activation. Here's what the data science team did.
One of the questions the data science team at the Government Digital Service (GDS) often gets asked is ‘how does your team work on data science projects?’ We thought we’d blog about how we have evolved our approach to data …
Sign up to get updates direct to your inbox and stay informed about improvements to digital products and services in government.