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
Pre-requisite course(s): F20ML Statistical Machine Learning .
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.
Learning Outcomes: Subject Mastery
On completion of this module, students should be able to:
Read and understand the current machine learning literature related to the selected topics.
Demonstrate expertise in applying recently acquired knowledge to practical data analysis problems.
Discuss machine learning concepts and their potential applicability with peers and in a professional setting
Learning Outcomes: Personal Abilities
At the end of this module, students should be able to:
Demonstrate the ability to learn independently
Manage time work to deadlines and prioritise workloads
Summarise and explain in writing an important new development in machine learning and understand its practical
implications for the professional practice of data science.
Present results orally in a way which demonstrates that they have understood the technical and broader issues related to
the special topic.
Have awareness of the applications of the new methodology in research and industrial applications.
Assessment Methods: Due to covid, assessment methods for Academic Year 2021-22 may vary from those noted on the official course descriptor. Please see the Computer Science Course Weightings and the Maths Course Weightings for 2020-21 Semester 1 assessment methods.
SCQF Level: 10.
Credits: 15.