Machine Learning

Overview

The importance of its importance and relevance is only likely to increase. Despite this rising popularity many Machine Learning practitioners operate independently, overcoming challenges and barriers in isolation.

One of the key drivers of success for the new N8 CIR theme will be bringing together Machine Learning researchers and helping them to collaborate and share ideas and best practice.

Similarly we will work to identify common barriers and challenges faced by those looking to integrate Machine Learning into their work and develop activities to overcome them.

Theme Leaders

• Durham - Noura al Moubayed, Assistant Professor, Department of Computer Science
• Lancaster - Christopher Nemeth, Senior Lecturer in Statistics
• Leeds - Serge Sharoff, Senior Lecturer, School of Languages, Cultures and Societies
• Liverpool - Maya Wardeh, NPIF Research Fellow, Institute of Infection, Veterinary and Ecological Sciences
• Manchester - Alex Skillen, Lecturer in Engineering Simulation and Data Science, Department of Mechanical, Aerospace & Civil Engineering
• Newcastle - Stephen McGough, Senior Lecturer, School of Computing
• Sheffield - Haiping Lu, Professor of Machine Learning, Department of Computer Science
• York - Dan Watts, Inspirational Research Leader