AMS4640 - Machine Learning
|Year of Study:||3 - 4|
|Prerequisites:||AMS2002 Optimisation for Data Science and AMS3640 Data Mining or With the Instructor’s permission and upon endorsement of the relevant Head or Programme Director.|
This module provides students with the machine learning methodologies and algorithms for solving real-life problems. Topics selected include supervised learning, unsupervised learning, module evaluation and advanced topics in machine learning. Students are also required to work effectively in a team to complete a project.
Upon completion of this module, students should be able to:
- examine the importance of machine learning methodologies and algorithms;
- apply machine learning methodologies and algorithms;
- examine the strengths and weaknesses and evaluate the effectiveness of machine learning algorithms; and
- interpret and present the results in a scientific and concise manner; and work effectively in a team and solve real-life problems.