Mathematics of Machine Learning (MSc)

Learning Outcomes

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Choose appropriate learning algorithms for particular tasks
• Derive learning algorithms with constraints and demonstrate proficiency in techniques including the method of Langrange Multipliers and the utilisation of duality.
• Formulate machine learning methods that capture the features present in the problem.
• Read and understand the research literature in machine learning.
• Derive original machine learning algorithms from first principles.

Knowledge and Understanding

Having successfully completed this module, you will be able to demonstrate knowledge and understanding of:

• A number of the leading machine learning methods that are built on mathematical foundations.
• A broad range of mathematical methods that underpin modern machine learning.
• What makes machine learning work well including knowledge of basic learning theory.

Summative

This is how we’ll formally assess what you have learned in this module.

Referral

This is how we’ll assess you if you don’t meet the criteria to pass this module.

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.