Learning from Data
Specialist Area Advisor - Richard Mayr
Increasing amounts of data are being captured, stored and made available electronically. The aim of the Learning from Data specialist area is to train students in techniques to analyze, interpret and exploit such data, and to understand when particular methods are suitable and/or applicable. These techniques derive from disciplines such as machine learning, probabilistic and statistical modelling, pattern recognition and neural networks, and are sometimes collectively referred to as data mining. The specialist area will prepare students for entry into PhD programmes or for employment in commercial environments and/or scientific/engineering research.
Students registered in this Specialist Area are recommended to select at least fifty credit points from these courses, including both the core courses. Please note courses are subject to availability.
Unofficial FAQ/guidance from one of the machine learning lecturers (may not always be up-to-date).
- Machine Learning and Pattern Recognition
- Probabilistic Modelling and Reasoning
- Advanced Vision
- Applied Databases (NOT taught in 2012/13)
- Computer Animation and Visualisation
- Data Mining and Exploration
- Decision Making in Robots and Autonomous Agents
- Information Theory
- Introductory Applied Machine Learning (Level 9, recommended if material not already known)
- Natural Computing (Level 9) (NOT taught in 2012/13)
- Neural Information Processing
- Reinforcement Learning
- Text Technologies