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)
A CSP is subsidised by the Australian Government and students pay a contribution amount. Each unit is classified into a band, depending on the study area of the unit (this discipline may be different from the study area of your course).
2025 contribution amount* $1,164
2025 grandfathered contribution amount* $1,164
Grandfathered contribution amount - 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.
* For Clinical Psychology & Professional Pathways bands the unit fee amount is determined by accredited courses. Students in Postgraduate Clinical Psychology, Professional Pathway Psychology or Professional Pathway Social Work accredited courses should refer to the information below.