Aims:
To introduce students to advanced concepts and methods in machine learning.
To provide students with expertise in key areas of application of machine learning in research or industry.
Detailed Information
Course Description: Link to Official Course Descriptor.
Location: Dubai, Edinburgh, Malaysia.
Semester: 2.
Syllabus:
This course will present some state-of-the-art machine learning concepts and methodologies, which will be selected each
year by the course leader:
Topics could include, for example, recent developments in Deep Learning, Reinforcement Learning, and Bayesian Methods
in Machine Learning. There will be a strong focus on the application of the involved theory, methods, algorithms to real data
analysis problems by using state-of-the-art software tools.
The studied machine learning techniques will be demonstrated with a range of applications related to science and industry,
such as computer vision, medical imaging, and natural language processing.
SCQF Level: 10.
Credits: 15.