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  • Aims and content
    • LEARNING OUTCOMES
      Students will understand and learn how to use key machine learning algorithms. The core of the course focuses on supervised learning, both parametric and nonparametric, and covers both computational and modelling aspects. Further classes will explore more advanced topics such as deep learning, unsupervised learning, variable selection, dictionary learning and manifold learning, to name a few. Students will be involved in project activities.
  • Who
  • Where and when
    • OFFICE HOURS FOR STUDENTS
      Alessandro Verri

      Appointment by email

      Sessions
      Date Time Type Place Notes
      16 febbraio 2018 9:00 Esame su appuntamento Genova
      27 luglio 2018 9:00 Esame su appuntamento Genova
      21 settembre 2018 9:00 Esame su appuntamento Genova
      28 febbraio 2019 9:00 Esame su appuntamento Genova
  • Contacts