Data Visualisation in: Artificial Intelligence and Machine Learning
Data Visualisation Community Group
As data grow and outreach opportunities become more plentiful, data visualisation is becoming an increasingly vital skill for researchers. The data visualisation community of practice seeks to bring together researchers from across the university to share techniques, discuss new or useful technology, get feedback on workflows and gather ideas from a wide community.
Slides from the launch event on 2022-10-11
Running in conjunction with Data Science Interest Group. We explored the practice of data visualisation in the field of machine learning and artificial intelligence. We heared two talks to stimulate discussion; the first from Jacob Macdonald (Urban Studies and Planning) and the second from Christopher Wild (Research and Innovation IT).
Jacob Macdonald
Jacob talked about techniques for translating complex research into effective visuals.
Christopher Wild
Chris talked about how we can understand generalisation through visualisation.
History
Ethics
- There is no personal data or any that requires ethical approval
Policy
- The data complies with the institution and funders' policies on access and sharing
Sharing and access restrictions
- The data can be shared openly
Data description
- The file formats are open or commonly used
Methodology, headings and units
- Headings and units are explained in the files
