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The current and official versions of the course specifications are available on the web at https://www.usq.edu.au/course/specification/current.
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CSC8003 Machine Learning

Short Description: Machine Learning
Units : 1
Faculty or Section : Faculty of Health, Engineering and Sciences
School or Department : School of Sciences
Student contribution band : Band 2
ASCED code : 020199 - Computer Science not elsewhere
Grading basis : Graded
Version produced : 7 June 2020

Requisites

Pre-requisite: (STA2300 or STA8170) and CSC1401 or equivalent program and statistical knowledge and skills.

Synopsis

Machine learning is the science of getting computer programs to self-improve performance through experiences. In the past decade, machine learning has given us face and speech recognition, recommender systems for music or movies, self-driving cars, effective web search, and a vastly improved understanding of the human genome. Machine learning is so pervasive today that people probably use it dozens of times a day without knowing it. In this course, students will learn about the most effective machine learning techniques from a variety of perspectives. Students will also gain practice implementing the machine learning techniques and getting them to work for problem solving. More importantly, students will learn about not only the theoretical underpinnings of learning, but also gain the practical know-how to quickly and powerfully apply these techniques to new problems.

Course offers

Semester Mode Campus
Semester 2, 2020 On-campus Toowoomba
Semester 2, 2020 Online
Semester 3, 2020 Online
Date printed 7 June 2020