This post describes how we test the performance of machine learning algorithms to improve navigation on GOV.UK
In March, we blogged about our work with analysts across government to transform the way we produce official statistics. We borrowed ideas from software development and academia to demonstrate what this might look like. We called the project ‘RAP’, which stands for Reproducible Analytical Pipelines.
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About this blog
This is a cross government blog about our work with data and the way we’re using performance analysis and data science techniques to improve service delivery and policy outcomes, and our work to find, access and use open government data.
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- DIT's Data Workspace - all our data, in one place 11 January 2023
- Beyond checklists: critical thinking about data ethics, technology and AI 9 November 2022
- How we are using machine learning to detect GOV.UK feedback spam 3 October 2022
- Splink: Fast, accurate and scalable record linkage 23 September 2022
- Mentoring a Successful RAP Project 8 August 2022