AIWSU7019 Applied Machine Learning
This subject introduces the foundation and concepts underpinning Machine Learning (ML) at a more abstract level, and provides more focus on its practical applications in areas such as: the classification and extraction of text data from various documents and web pages, image processing, Google's PageRank algorithm and relational data mining (RDM). These learning objectives are achieved through various ML software and a series of practicals and projects. The subject covers the concepts and notions of supervised, unsupervised and reinforcement learning, perceptron, neural networks, support vector machines (SVM), knowledge representation (KR) based RDM, and a comprehensive introduction to the Scikit-learn ML Python libraries.
Commonwealth Supported Place (CSP) unit fee
A Commonwealth Supported Place (CSP) is one that is subsidised by the Australian Government, which means students only pay the student contribution amount of the tuition fee. CSPs are only available to eligible domestic students.
The student contribution amount depends on the unit and how much funding the Government provides. Each unit is classified into a band based on its discipline (which may be different to your overall course discipline).
2025 student contribution amount: $1,164
2025 grandfathered student contribution amount (for students who commenced before 1 Jan 2021*): $1,164
* If you are a continuing student (who commenced your course before 1 January 2021) you will continue paying the same amount as you would have, had legislative reforms not been implemented for any units that would otherwise have an increased student contribution amount.