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Statistical Learning And High Dimensional Data 2023/2024
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.: 2023/2024
- Canale: UNICO
- Crediti: 8
Classe virtuale:
- Nome classe: VIGOGNA-8067158-STATISTICAL_LEARNING_AND_HIGH_DIMENSIONAL_DATA
- Link Microsoft Teams: Link
- Docente: VIGOGNA STEFANO