...title) and corresponding coded fields (i.e. Standard Occupation Codes (SOC)) that were manually assigned by operators. This data was suitable for supervised machine learning and he developed Naive Bayes Classification...
...have sprints, stand-ups, stories, retrospectives or indeed a clear process that involves research, design and product owners making decisions about what to change. We suggest that the introduction of these...
...code, code that contains sensitive information (e.g. fraud detection components) or can pose a security risk if open. Publishing the source code will be a mandatory requirement when the service...
...see all code open sourced, regardless of usefulness to a wider audience or not. The only exceptions are configuration management code, code that contain sensitive information (e.g. fraud detection components)...
...convincing explanation as to why this can’t be done for specific subsets of the source code). Code from the service has been published and is currently being reused by another...
...services to provide live data, good progress has been made understanding in analysing the quality and scope of the data that will be available. Legislation for this service requires that...
...The current prototype gives the impression that every idea has been included, and that the available data is driving what elements are included, rather than a user-centred approach. The panel...
...and has refactored the code base for legibility. The code now is well structured. Test coverage has improved vastly from having no existing tests to around 80% coverage. The team...
...team has completely rebuilt the state machine logic internally, and has refactored the code base for legibility. The code now is well structured. Test coverage has improved vastly from having...
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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.