Good introductory ML module that covers all the essentials needed to get a solid head start. The ones who have already taken ML courses may find much of the content repetitive. The module is very well organized with clear and easy to follow slides. The courseworks are group-based, and can be quite time intensive, but still manageable if you start working on them early. The 90-min time limit on the final exam makes it challenging.

The module was generally fine. I did not fully understand how evolutionary algorithms could be covered in just one lecture, but overall the content was not too difficult and the exam was reasonable.

Amazing module if you want to get into ML without much past experience. Covers broad topics like k-NN, decision trees, neural networks and a tiny bit of unsupervised learning. Amazing lecturers, courseworks are not too difficult. The exam is not too difficult either, but the time constraint (90 min) makes it a lot harder than it looks. Overall, definitely recommended.

Uses a separate website domain that includes all lecture videos, lab tutorials and notices. The teaching lecture videos are all YouTube videos that were pre-recorded. Content-wise, started off with simple and straightforward introduction to Machine Learning, k-NN & decision trees etc. Then later on content & coursework becomes harder with Neural Networks, Unsupervised Learning, and Evolutionary Algorithms. Theory may be harder to grasp than actual practical work, as sufficient studying/practicing should be able to prepare you for the exam greatly. Coursework is also not too hard.