Course overview
This course surveys the practical application of machine learning in modern organisations and society. Case studies will be used to demonstrate current best practice as well as common pitfalls. You will learn processes for tool-selection based on requirements and available resources; verifying and validating discovered models and how to apply results in real environments; and information resources for tracking technological advances.
Course learning outcomes
- Understand when and why machine learning tools are used in industries.
- Select an appropriate method and tool for a given problem and data set
- Distinguish problems and data sets that are amenable to machine learning methods from those that are not
- Analyse results and solutions to verify their correctness and identify sources of error
- Compare the significance and validity of solutions obtained by multiple methods
- Design data management procedures to enable accurate application of machine learning
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