Welcome to the machine learning class!Machine learning and data analysis are becoming increasingly central in many sciences and applications. In this course, fundamental principles and methods of machine learning will be introduced, analyzed, compared, and implemented.
Prof. Pascal Fua
Computer Vision Laboratory (CVLAB)
Course Times and Locations
Lectures: Monday 16:15 - 18:00 in SG1
Exercises: Tuesday 17:15 - 19:00 in INF1, INJ218, INM10, INM200, INM202
If you have any questions please post them in the discussion forum and one of the TAs will answer you.
The final exam will be closed book and will represent 90% of your final grade. You will be allowed ONE hand-written A4 page of notes.
Exam date: to be determined
Exam room: to be determined
Not all practical sessions will be graded. However, two of them will be, one in the middle of the term and another towards the end. This will count for the remaining 10% of your grade. The dates of the graded exercise sessions are shown in the schedule below.