...data quality (and quantity), measurement frameworks and how to measure content performance, understanding the user experience, and potential uses of machine learning for analytics. Top tips 1. To avoid ‘vanity...
...in a structured, machine-readable format. How can you use BODS? BODS can be used to create registers of beneficial ownership data, check and review that data with its own dedicated...
...them learn about the user needs that they are trying to meet. Different designs have been tried out and the rhythm of the team in terms of iterating and learning...
...Campus and the Analysis Function have partnered to deliver a data visualisation branch of the Accelerator, a deliverable of the Government Data Science Partnership. Skevi Pericleous, Head of Analytical Learning...
...Trello and share their learnings at our team’s Show and Tells. The outputs have been numerous and varied, from training a deep learning model for semantic similarity of words on...
...servants completing learning and development in priority areas indicates a positive change in behaviour which will lead to a more skilled Civil Service. Our Capabilities dashboard shows increases in learning...
...and capture form submissions has a low learning curve and reasonably flexible deployment and support options (on premise, Infrastructure as as Service (IaaS) or hosted by vendor). While the tool...
...Teach & Try, an easy-to-use piece of machine-learning software which enables the user to build a classification system within minutes rather than weeks. Adavait Sarkar showcasing the GatherMiner software. A...
...learning about the civil service code of conduct empowering rather than burdensome. I especially found our stance on social media interesting - civil servants are required to be politically impartial,...
...data has a high security rating, and how they view continued development under that regime. For example, can the team open the code? What machines would developers use? Do developers...
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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.