Aprendizagem Automática

Good course that covers the fundamentals in machine learning. The projects are to be done in teams of 2 members, and the objective is to implement some ML algorithm and benchmark it against the dataset specified. The project can be a bit difficult but the grades are generally good.

The projects are a bit adhoc and take some time to do. You can try a lot of models and choose the best and still ending up with a 15/20. The profs are good, the content is important.

Meh.

It gives a decent foundation for Machine Learning and if you're a beginner I'd recommend it. But honestly, I'd argue Deep Learning is a much better course that basically talks about all of the subject matter in Machine Learning (except maybe Random Forest which can be easily learned online).

The project component consists of 4 projects for a 7 week course, which is really overkill (doesn't help that the labs are essentially just for questions regarding the project, and you pretty much have to figure how to use stuff on your own). The regression problems (first two) were alright. But the...

Essential course for anyone who wishes to know something of Machine Learning. Overall well structured and good evaluation

Mandatory foundational course for the AI world, choose it as fast as possible. The project is interesting but needs constant work. The exam is not too difficult.