CAB420 Machine Learning

[object Object] {"attributes":{"DGCIF":"Available for cross institutional students - faculty approval required","ITBUNI":"Information Technology UG - Uni Wide Units","DGSAF":"Study Abroad / Exchange (UG) - faculty approval required","LEW3NA":"Late Enrolment - Not available for enrolment Week 3","DGNAF":"Available for Single Unit students (UG) - faculty approval required"},"study-types":["Cross-institutional study","Single-unit study"],"availabilities":[{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 1","date-end":"2024-06-21T14:00Z","date-start":"2024-02-25T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 1","date-end":"2024-06-21T14:00Z","date-start":"2024-02-25T14:00Z","year":2024},{"study-mode":"All","attendance-mode":"Internal","location":"Gardens Point","campus":"Gardens Point","study-period":"Semester 1","date-end":"2025-06-20T14:00Z","date-start":"2025-02-23T14:00Z","year":2025},{"study-mode":"All","attendance-mode":"Online","location":"Online","campus":"Gardens Point","study-period":"Semester 1","date-end":"2025-06-20T14:00Z","date-start":"2025-02-23T14:00Z","year":2025}],"broad-study-area":{"name":"Engineering","foe":29999},"code":"CAB420","credit-points":12,"fees":[{"csp":"$1,118","dom":"$4,104","int":"$4,788","year":2024},{"csp":"$1,164","dom":"$4,356","int":"$5,172","year":2025}],"faculty":{"code":470100,"title-short":"Faculty of Engineeri","title-full":"Faculty of Engineering"},"school-discipline":{"code":470500,"title-short":"Elec Eng & Robotics","title-full":"School of Electrical Engineering and Robotics"},"unit-requisites":{"pre":"(\nCAB201 or \nCAB202 or ITD121 or IFN501 or IFN556 or (Admission to EN50 or EN55 or EN52 or EN56 or EN62 or EN72)) or (192cps in SV03 or IV04 or MV05 or EV08) or (Admission to IV53 or IV54 or IV55 or IV56 or IV58)."},"sams-version":2,"summer":[],"synopsis":"Machine learning is the science of getting computers to act without being explicitly programmed. This unit provides you with a broad introduction to machine learning and its statistical foundations. Topics include: definition of machine learning tasks; classification principles and methods; dimensionality reduction/subspace methods; graphical models; and deep learning. Application examples are taken from areas such as computer vision, finance, market prediction and information retrieval.","title-full":"CAB420 Machine Learning","title-short":"Machine Learning","url":{"current":"https://qutvirtual4.qut.edu.au/group/student/enrolment/units/unit?unitCode=CAB420&year=2025","prospective":"https://www.qut.edu.au/study/unit?unitCode=CAB420","timetable":"https://qutvirtual3.qut.edu.au/qvpublic/ttab_unit_search_p.process_teach_period_search?p_unit_cd=CAB420"},"year":2025,"years":[2024,2025]}