Machine Learning
Deakin University · VIC · SIT720
Machine Learning is a subject at Deakin University, VIC in Faculty of Science, Engineering & Built Environment. It covers topics like artificial-intelligence, machine-learning, statistics. It is part of 18 degrees. The information below is compiled from public course material — approximate, not official.
Deakin University
SIT720
1.00
Faculty of Science, Engineering & Built Environment
Topics covered
Degrees that include Machine Learning
- Bachelor of Information Technology (Honours)
- Bachelor of Information Technology (Honours)
- Graduate Certificate of Data Analytics
- Graduate Certificate of Data Analytics
- Graduate Certificate of Engineering
- Graduate Certificate of Technology
- Graduate Certificate of Technology
- Graduate Diploma of Data Science
- Graduate Diploma of Data Science
- Master of Applied Artificial Intelligence
- Master of Applied Artificial Intelligence
- Master of Applied Artificial Intelligence (Global)
- Master of Applied Artificial Intelligence (Professional)
- Master of Cyber Security (Professional)
- Master of Data Science
- Master of Data Science
- Master of Data Science (Professional)
- Master of Data Science (Professional)
Frequently asked questions
What is Machine Learning about?
Machine Learning covers topics like artificial-intelligence, machine-learning, statistics.
Which degrees include Machine Learning?
Machine Learning is part of 18 degrees, including Bachelor of Information Technology (Honours), Bachelor of Information Technology (Honours), Graduate Certificate of Data Analytics, Graduate Certificate of Data Analytics, Graduate Certificate of Engineering.
How many credit points is Machine Learning?
Machine Learning at Deakin University is typically around 1.00 credit points. Approximate — confirm with the university.
Where is Machine Learning taught?
Machine Learning is taught at Deakin University, VIC.
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Sources: Deakin University public course catalogue. Information is compiled and summarised — not copied verbatim — and is approximate; always confirm with the original source.
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