Study programme 2023-2024Français
Machine Learning I
Learning Activity
CodeLecturer(s)Associate Lecturer(s)Subsitute Lecturer(s) et other(s)Establishment
S-INFO-256
  • BEN TAIEB Souhaib
      • UMONS
      Language
      of instruction
      Language
      of assessment
      HT(*) HTPE(*) HTPS(*) HR(*) HD(*) Term
      Anglais, FrançaisAnglais, Français3030000Q2


      Content of Learning Activity

      This course provides a broad introduction to (statistical) machine learning. Topics include the learning framework (training and test errors, model assessment and selection, bias/variance tradeoff, resampling methods, regularization), supervised learning (linear models, tree-based models, neural networks, parametric/non-parametric models), and unsupervised learning (dimensionality reduction).

      Required Learning Resources/Tools

      Not applicable

      Recommended Learning Resources/Tools

      Not applicable

      Other Recommended Reading

      Not applicable

      Mode of delivery

      • Face-to-face

      Type of Teaching Activity/Activities

      • Cours magistraux
      • Travaux pratiques
      • Projet sur ordinateur

      Evaluations

      The assessment methods of the Learning Activity (AA) are specified in the course description of the corresponding Educational Component (UE)

      Location of learning activity

      • Université de Mons - Mons

      Location of assessment

      • Université de Mons - Mons
      (*) HT : Hours of theory - HTPE : Hours of in-class exercices - HTPS : hours of practical work - HD : HMiscellaneous time - HR : Hours of remedial classes. - Per. (Period), Y=Year, Q1=1st term et Q2=2nd term
      Date de dernière mise à jour de la fiche ECTS par l'enseignant : 16/05/2023
      Date de dernière génération automatique de la page : 18/05/2024
      20, place du Parc, B7000 Mons - Belgique
      Tél: +32 (0)65 373111
      Courriel: info.mons@umons.ac.be