$$\notag $$

Week 1, 21–25 September

Welcome to week 1! After some general introduction, the main aim of this week is to get everyone set up with the tools we’re using, and to be able to use a particular model: “linear regression with basis functions”.

If you’ve done some machine learning before, and know Python, this material could be straightforward, but do quickly work through it all to make sure. If you’re up for it, there is some further reading, and we’re happy to discuss it. We also hope you’ll help others in the class. Please remember that this material may be “easy” if you already understand it, but not until then. Be respectful, understanding and helpful if you see anyone struggling.

Outside your studies, Ed Intelligence, the student-run machine learning society, have two events that you might be interested in:

Here is what you need to do in Week 1:

In this week and the next, there are no hard deadlines. However, from Week 3 on, you must have submitted the questions to the week’s notes, among other things, by Friday. We recommend that you submit everything by Thursday, so you should already get in the habit by completing this week’s questions by Thursday if you can.