B5IA0819 - Topics in insurance - Cours magistral

Important questions remain unanswered because the data necessary to address them is encoded into high-dimensional data structures such as images or language. Economists have become increasingly interested in using machine learning models to transform these data into simpler representations, and use them for economic analysis. After introducing predictive modelling, this course provides a comprehensive understanding of neural networks models, their optimisation, as well as specialised model architectures to make sense of these complex forms of data. From a strong base in theory and mathematical formalisation, focus is kept on intuition and efficient implementation using Python.

Informations sur l'espace de cours

Nom Archive année 2023-2024 Topics in insurance - Deep learning
Nom abrégé UP1-C-ELP-B5IA0819-01 - Deep learning
Groupes utilisateurs inscrits Consultation des ressources, participation aux activités :
  • [2023] MIB50A - Master 2 Finance technology data (diploma-MIB50A-2023)
Consultation des ressources uniquement : aucune cohorte inscrite.

Rattachements à l'offre de formation

Élément pédagogique UP1-C-ELP-B5IA0819 - Topics in insurance
Chemin complet > Année 2024-2025 > Paris 1 > École d'économie de la Sorbonne > Master 2 indifférencié Finance technology data > Semestre 4 > UE5 Finance (choix cours 6 ECTS) > Choix 3 matières : hors phD track > Topics in insurance