Métodos de Avaliação


Regular period

  • Exam 50% (minimum 9.5)
  • 5 Homeworks 5x10% (overall minimum 9.5, made in groups)

Special evaluation period

  • Exam 100%

Practical sessions 

Half of the practical sessions are based on pen and paper exercises. The other half are computing exercises in python.The computing exercises will require python and numpy. For comparison and verification, it is possible to use scikit-learn but all methods must be implemented without relying on any toolbox not directly specified.

Homeworks include 

  • 3 pen and paper exercises about machine learning algorithms.
  • 1 set of computing exercises implementing and comparing machine learning algorithm
  • 1 larger computing exercise
All homeworks are started during the practical sessions and must be finished at home.