...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
...content item. In this way, the structural network of GOV.UK is created, consisting of approximately 250,000 nodes and 350,000 links. When we first started using network science methods on the...
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...
...them. For mentors, do not underestimate your own abilities. We are always learning and data science is always evolving. So far, this experience has been incredibly rewarding as I get...
...from across the public sector (including local and central government). On the Accelerator Joining the Accelerator meant I would have one day a week, over 3 months, as protected time...
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 …
Apply to the Data Science Accelerator programme by 15 October, and you could begin developing your data science skills before the end of 2018.
...UKHO is now building upon Chris’s code for their operational decision making by examining how cloud cover data could improve the processing of satellite imagery. Automatic categorisation and enhanced reporting...
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