GOV.UK
Using machine learning to classify user comments on GOV.UK
...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...
Search results for machine learning
How we used deep learning to structure GOV.UK’s content
...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 (Course Booking) - Service Assessment
...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...
Data science is a team sport
...of platforms, products and services have developed to the point where machine learning can be applied at scale and shape product roadmaps. Along the way we’ve learned from others in...
Anomaly detection: a machine learning approach
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...
Getting started with data science
...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...
The Accelerator grows
...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...
Data Science Accelerator Programme - project update
...component analysis and correlation analysis with machine learning methods such as decision trees, random forest ensemble models, lasso and ridge regression. This lead to a method of creating risk profiles...
Pharmacies, people and ports: the Data Science Accelerator
...factors driving repeat complaints against doctors, and to identify characteristics which might indicate a future risk of harm to patients. Tom developed predictive models using machine learning and visualisation techniques....
What does it all mean?
...programme can be trained to spot patterns in the text (using machine learning). Below is a visualisation of question one from the consultation. This is not a standard word cloud...