Introduction to Machine Learning - BMETE15AP61

Requirements

  • Starting from the second week practice courses will start with a small 5-7 minutes test (on paper) about the lecture part (I will hand out my notes and the notebooks of last year which you are supposed to cover alone). The requirement is 50% on these tests
  • At least 40% performance on the end of the semester tests
  • Practice solutions (in pairs): at least 70%
  • Presentation of the project (in pairs), please check the exact requirements in the moodle system
  • If these requirements are not met no mark is given, instead it will be set to requirements not fulfilled.

Evaluation

  • (Un)fortunately, AI makes homework obsolete so there will be none
  • Project and its presentation (pair): 100 points (for both)
  • Test at the end of the semester from the lecture part: individual, 60 points
  • Marks
    1. -63
    2. 64-103
    3. 104-111
    4. 112-135
    5. 136-

Consultation

  • At the end of the lectures, or upon request, please write an email to the required professor.