...and the public sector. Machine Learning is a method for creating algorithms that enable computers to learn from data to make predictions. Examples of machine learning techniques are; reinforcement learning,...
...user has left us some comments, but there is not enough information to allow us to classify it as either 'ok' or one of the other classes. Machine learning and...
...used supervised machine learning Supervised machine learning is an algorithm that learns patterns from a sample of data that has already been classified, so it can use them to classify...
Civil Service Learning (CSL) runs an outsourced learning portal for around 450,000 users. The main provision is to host generic learning products and enable face to face course bookings. It...
...running machine learning The first choice we had to make was how we’d host the node2vec machine learning algorithm. Many cloud providers offer what’s called a virtual machine, which –...
...scientist’s time. Instead, we try to focus on applying machine learning to existing products and services where it has matured to the point where machine learning and AI can usefully...
...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...
Despite the current overhyped status of the internet of things, real-time and near real-time data is an important topic in both the private and public sectors. Whether the data is...
...brilliantly clear online textbook. There is also a good CodeAcademy Python course. Machine Learning Data Scientists often use a range of modern statistical techniques called machine learning. It’s extremely important...
...app using Python’s Django library to help his colleagues at the Education Funding Agency prioritise resources. Using machine learning, the app predicts financial and governance risks associated with an Academy...
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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.
