University of Technology Sydney

320513 Machine Learning

6cp; Forms of attendance and mode of delivery in this subject have changed to enable social distancing and reduce the risks of spreading COVID-19 in our community.
Requisite(s): 260776 Foundation of Business Analytics AND 260777 Data Processing Using SAS AND 570100 Data Ethics and Regulation AND 12 credit points of completed study in spk(s): CBK91894 12cp Foundation Option (Business Analytics)
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.
Recommended studies: knowledge of database technologies



This subject introduces the essential elements of machine learning - a technique that enables a machine to learn from data and automatically derive or enhance its strategy to perform its tasks. Taking a research-inspired approach, Machine Learning guides learners to the basic principles that underlies the highly successful statistical learning approach with hands-on experience.

Machine Learning presents learners with core concepts in machine learning as well as a generic framework. Basic learning models, including decision trees and linear families, demonstrate the theory of machine learning. These models are also widely applied in real-world applications.

Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.