Module overview
Aims and Objectives
Learning Outcomes
Knowledge and Understanding
Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:
- A range of mathematical methods that underpin modern machine learning.
- What makes machine learning work well including knowledge of basic learning theory.
- A number of the leading machine learning methods that are built on mathematical foundations.
Subject Specific Intellectual and Research Skills
Having successfully completed this module you will be able to:
- Choose appropriate learning algorithms for particular tasks
- Understand how machine learning methods can capture the features present in the problem.
- Derive learning algorithms with constraints and demonstrate proficiency in techniques including the method of Langrange Multipliers and the utilisation of duality.
- Read and understand the classic research literature in machine learning.
Syllabus
Learning and Teaching
Teaching and learning methods
| Type | Hours |
|---|---|
| Wider reading or practice | 20 |
| Tutorial | 12 |
| Lecture | 36 |
| Revision | 32 |
| Guided independent study | 50 |
| Total study time | 150 |
Resources & Reading list
Textbooks
Marc Peter Deisenroth, A. Aldo Faisal and Cheng Soon Ong (2020). Mathematics for Machine Learning. CUP.
Bishop, Christopher M.. Pattern Recognition and Machine Learning.
Mackay, David J. C.. Information Theory, Inference and Learning Algorithms..
Assessment
Summative
This is how we’ll formally assess what you have learned in this module.
| Method | Percentage contribution |
|---|---|
| Examination | 85% |
| Worksheet | 15% |
Referral
This is how we’ll assess you if you don’t meet the criteria to pass this module.
| Method | Percentage contribution |
|---|---|
| Examination | 100% |
Repeat
An internal repeat is where you take all of your modules again, including any you passed. An external repeat is where you only re-take the modules you failed.
| Method | Percentage contribution |
|---|---|
| Examination | 100% |
Repeat Information
Repeat type: Internal & External