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important course information

Dear all,

Welcome to the machine learning course CS-433. Here is a link to the course webpage. All materials will always be made available on our public github: github.com/epfml/ML_course. Information about the course format, projects grading, etc. is described in the course info sheet (PDF).

Please always respect the go.epfl.ch/coronavirus recommendations.

The lectures will be held onsite (Tuesday in RLCE1240 and Thursday in SG1) as well as live-streamed on zoom. They will also be recorded and available on our youtube playlist (in addition, you also find last year's videos linked separately on moodle. You don't need moodle for this course otherwise).

For the exercise sessions on Thursday, you will be able to choose between onsite and online sessions every week. We ask you to register every week by Tuesday on go.epfl.ch/mllab, in order to ensure an optimal TA/students balance.

Please make use of these sessions as the interaction is particularly valuable to your learning process. The new exercise sheet, as well as the previous week's solutions, will always be posted each Tuesday on the github. You will also have access to an additional 5min video to explain the new exercise sheet of the week, on our youtube playlist.

In any case, please feel free to use the discussion forum here frequently and to freely discuss any questions you have about the course and exercises, as well as the projects. You can ask your questions anonymously. They will all be answered by the team.

Looking forward to seeing you on Tuesday,

Nicolas & Martin & team

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