University of Sheffield
The Machine Learning group at the University of Sheffield aims to develop algorithms which automatically learn to recognize complex patterns in data, and use these to make intelligent decisions. We have gained an international reputation for research into the development of machine learning techniques and their application to a diverse range of modelling tasks. Our group has established the Open Data Science Initiative and is active in promoting reproducibility of research via good Software Engineering principles.
Our research covers three general areas, with examples:
- Learning Algorithms
- Dimensionality Reduction
- Probabilistic Modelling
- Optimisation
- Statistical Learning
- Applications
- Personalised Health
- Computational Biology
- Computational Neuroscience
- Ethics of AI
- Data Legislation
- Responsible Innovation
We coordinate the Sheffield Machine Learning Research Network. Details of past and future events are available here.
GPy is an open-source library for Gaussian Processes (GP) written in Python
GPyOpt is an open-source library for Bayesian Optimization using GPy, written in Python
A MATLAB suite of algorithms and software for the analysis and classification of trajectories of rodents in the Morris Water Maze
Machine Learning Research Group
Department of Computer Science
University of Sheffield
Regent Court
211 Portobello
Sheffield, S1 4DP
UK
Tel: +44 (0)114 222 1800
Fax: +44 (0)114 222 1810