...community. I’ve learned how to code in Python and implement various code libraries. I also created a set of tuned machine learning models to classify different crime types based on...
...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...
...science in local government health data infrastructure and operationalising data science trust, confidentiality and transparency machine learning geospatial data science data science careers Government Data Science Partnership sessions If you...
...techniques to obscure sensitive or private information in datasets. These include statistical methods, deep learning techniques and natural language processing for the data types above. Typically they can be summarised...
...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 …
...by mobile phone network across the railways. In conversations with people on different mobile phone networks I had never twigged that the degree of signal loss I experience is not...
...the boundaries of their technical knowledge and will have most value to their department and government. Staff have the freedom to choose what they work on and are encouraged to...
...as Amazon Web Services (AWS) S3 buckets. They set up processes to clean and manipulate the data by writing version-controlled code (for example, using Python) that automatically provides us with...
...available to view on GitHub. If you'd like to know more about how we productionise related links and what we're doing next, please get in touch in the comments below...
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