AustralianCourses
Single subjectInformation technologyDomestic students onlyvia Open Universities Australia

Machine Learning

ADU-INFO3016·Adelaide University

Single subject — no qualification is awarded on completion. Credits toward the qualifications listed below.

Study mode
Online
Duration
10 weeks
Study load
0.125 EFTSL
Fees & funding · single subject
Published subject fee
$2,400
Payable upfront
deferred to your HELP loan
$0
FEE-HELP available — defer your fees

This subject is FEE-HELP eligible, so eligible students can defer the $2,400 fee as a government loan and pay nothing upfront.

Fees and funding are indicative only. Confirm your eligibility and final costs with the provider.

About this subject

Enhance your skills in applying supervised, unsupervised, and deep machine learning techniques to solve real-world data analytics challenges. In this course, you'll explore linear regression, regularisation, and logistic regression, and delve into advanced neural network architectures and learning techniques. Gain expertise in convolutional and recurrent neural networks, including long short-term memory (LSTM) networks. Learn practical applications of machine learning, including clustering, dimensionality reduction, anomaly detection, and large-scale machine learning. Adelaide University's 10-week short courses give you the flexibility to up-skill in a certain area, stay current with developments in your field, diversify your knowledge, or even explore a new direction in your career – without having to commit to the time and cost of a full university degree. This is a third-year course from Adelaide University's Data Analytics degree. When studying this course as a "single subject", prior knowledge from INFS3018 or equivalent will support your success. Delivered 100% online, you’ll be able to study where and when it suits you. Access online academic and student support seven days a week, fit study around work and life commitments, view learning resources 24/7, and log in to the interactive online environment anywhere, any time and on any device. Should your course have an exam it will be scheduled for Australian Central Standard Time or Australian Central Daylight Time, depending on the time of the year.

Machine Learning is a standalone subject at Adelaide University in SA. Completing it does not award a qualification. Credit may apply toward the qualifications listed on this page.

No qualification credit mapping has been indexed for this subject yet. The provider may still grant credit toward a related award — confirm with Adelaide University before enrolling.

Adelaide University is the awarding provider. Recorded study modes are Online. Typical duration is listed as 10 weeks. The subject is listed at 25 credit points. Eligible students may defer fees through FEE-HELP.

Details on this page are compiled from the provider's published subject information and government registers. Fees, intakes and credit rules can change — confirm current details with Adelaide University before enrolling.

Listing facts

Type
Single subject
National code
ADU-INFO3016
Field of education
Information technology
Provider
Adelaide University
Credit points
25
Study mode
Online
Duration
10 weeks
Qualifications listed
0
FEE-HELP
Eligible
Study this subject through Open Universities Australia.