Generali:

  • Dipartimento: Scienze Matematiche, Fisiche E Naturali
  • Settore Ministeriale: MAT/06
  • Codice di verbalizzazione: 8067158
  • Metodi di insegnamento: Frontale
  • Metodi di valutazione: Orale
  • Prerequisiti: Linear Algebra, Calculus 1 and 2, basic Probability and Statistics.
  • Obiettivi: LEARNING OUTCOMES: Concepts, tools, methods and fundamental results of statistical learning, with particular focus on the supervised case and problems in high dimensions. KNOWLEDGE AND UNDERSTANDING: Mathematical formalization of machine learning, fundamental methods, basic theoretical results, open problems and applications in high dimensions. APPLYING KNOWLEDGE AND UNDERSTANDING: Formalization and solution of real problems, typical statistical and computational problems in high dimensions. MAKING JUDGEMENTS: Evaluation of the most suitable models and methods for the practical resolution of problems, interpretation of the results.
  • Ricevimento: su appuntamento

Didattica:

  • A.A.: 2024/2025
  • Canale: UNICO
  • Crediti: 8