This postgraduate subject introduces the fundamentals of machine learning in both theory and practice, focusing on its application in industrial data analytics and knowledge engineering. You will develop computing skills for data regression and classification, with an emphasis on solving industrial data modelling problems using neural networks. The course involves testing various learning algorithms, comparing their performance, and exploring advanced techniques for data classification. Practical labs and assignments provide hands-on experience with real-world machine learning applications.
Students admitted to the following courses are not permitted to enrol: SBCS, SBIT, SBCSGT, SVCSE, SZCSC, SBITP, SBBIY.
Fees are payable by the due date, which is typically 21 days before the Census date for coursework students. Failure to pay may affect enrolment. Refer to the university's 'Find a course' page for specific tuition fees.