This is a broad but thorough intermediate level course of statistical machine learning, emphasising the mathematical, statistical, and computational aspects.
Q: Can you give a permission code to enroll? A: We (instructors or course staff) cannot issue permission codes, you will need to fill in the online application at the college website, non-obvious cases will come to us. https://cecc.anu.edu.au/current-students/policies-and-resources/enrolling-cecs-courses
Q I don’t satisfy the ANU pre-requisite requirements but I would still like to enroll (and I have evidence showing that I can handle this course). A: See response to item 1. You will need fill in the above form attaching the evidence. Such as: academic transcript, syllabus of related courses from another university, narratives about related programming or math experience.
Q: What is the difference between SML (COMP4670/8600) and IML (COMP3670/6670)? Which one should I take? A: IML is a pre-requisite of SML. IML uses the “MML” book whereas SML uses the “PRML” book. Both courses cover ~ 50%+ of the chapters. Have a look at the books to get a feel of the level of the class.
Q: What are the topical focus of SML (COMP4670/8600) different from that of AML (COMP4680/8650)? A: SML is a broad-but-thorough course that aims to cover most fundational topics in machine learning, whereas AML specialises in one or more sub-topics in machine learning. In recent years AML has covered covex optimisation, optimisation in ML, and other topics.