...free-text information – the main objective of my project. I now have the confidence to develop this further, beyond the programme. I’d advise new mentees to do some form of...
...data science open, available, and accessible enables scrutiny from Parliament, the public and peers, and enables reuse of code. We work in challenging contexts and our analysis needs to be...
...a great event for colleagues who want to know more about how to grow data science within their own organisations. The festival week strands are: data science in transport data...
...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...
The Homelessness and Troubled Families Analysis Team at MHCLG have recently published the latest 2019 Rough Sleeping Snapshot statistics using a Reproducible Analytical Pipeline (RAP). This felt like a real achievement as we are one of the first teams in …
...work to the community. There is a full list of speakers and topics at the bottom if you are curious about who we heard from. The value of new data...
...diverse range of applications. In my previous role at the Government Digital Service (GDS), I formalised the process of continuous learning and innovation by encouraging people to spend up to...
...better services. The role of the data engineer is crucial for building better services for users! If you are interested in data engineering you can register for the Government Data...
...environment (IDE), like that of Visual Studio or IntelliJ – a tool which makes the process of writing high-quality software easier through various integrations such as offering code optimisations and...
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