Advanced Topics in Machine Learning (English)

Aims

The aim of this unit is to provide you with a forum in which to investigate current research and development issues in machine learning and data mining.

Learning Outcomes

After successfully completing this unit, you will be able to:

• Identify and discuss open questions in machine learning and data mining.
• Provide detailed coverage of at least one advanced topic in machine learning and data mining.
• Apply data mining techniques to large, real-world datasets.

Syllabus

This unit offers you a chance to investigate advanced topics, including open questions in state-of-the-art machine learning. The range of issues covered will vary based on the students's particular interests.

This unit is aimed at MSc students following the Machine Learning and Data Mining theme.

Books

Teaching and Learning Methods

This is a reading course. A number of issues and topics will be assigned. You will be expected to give one or more seminars on topics related to machine learning and data mining. Other seminars will be given by members of staff and invited speakers. There will also be a major data mining assignment employing real data. The nominal load is 300 hours.

Assessment Methods

Attendance at all seminars and coursework.