Advanced Machine Learning

Learning Outcomes

Knowledge and Understanding

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

• State-of-the-art algorithms such as Support Vector Machines and Bayesian networks
• Theoretical concepts and the motivations behind different learning frameworks
• Kernel methods for handling high dimensional and non-linear patterns
• Key concepts, tools and approaches for pattern recognition on complex data sets

Subject Specific Practical Skills

Having successfully completed this module you will be able to:

• Be able to solve real-world machine learning tasks: from data to inference

Subject Specific Intellectual and Research Skills

Having successfully completed this module you will be able to:

• Conceptually understand the role of pattern analysis and probabilistic modeling, together with the mathematical techniques this requires

Key concepts

• Supervised/Unsupervised Learning
• Loss functions and generalization
• Probability Theory
• Elements of Computational Learning Theory

Kernel Methods for non-linear data

• Support Vector Machines
• Kernels

Bayesian methods for using prior knowledge and data

• Bayesian inference
• Bayesian Belief Networks and Graphical models
• Gaussian Processes

Ensemble Learning

• Bagging
• Boosting
• Random Forest

Resources & Reading list

Internet Resources

Reasoning and Machine Learning.

Information Theory, Inference, and Learning Algorithms.

Textbooks

Aurelien Geron. Hands-On Machine Learning with Scikit-Learn & Tensor Flow.

Christopher M. Bishop (2006). Pattern Recognition and Machine Learning. Springer.

John Shawe-Taylor and Nello Cristianini (2004). Kernel Methods for Pattern Analysis. Cambridge University Press.

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.

Repeat Information

Repeat type: Internal & External