<p>With this in-class test, the student will be assessed on their ability to synthesise machine learning and data mining methods to extract previously unknown relationships in data. The test is carried out during week 6&#39;s practical session in the IT lab.</p>

In-class test

<p>Report based on machine learning and data mining methods</p>

Real-world machine learning

1. Introduction
2. Supervised learning
3. Artificial neural networks
4. Support vector machines and kernel methods
5. Tree-based methods and ensemble learning
6. Deep learning
7. Unsupervised learning
8. Advanced topics in machine learning and data mining

Machine Learning and Data Mining - 7021DATSCI

Machine Learning and Data Mining

Critically analyse the effectiveness of different machine learning and data mining methods.

Synthesise machine learning and data mining methods to extract previously unknown relationships in data.

Evaluate suitable machine learning and data mining methods based on the type of data and problem to be addressed.