Laboratory ml in finance
A.A. 2023/2024
Obiettivi formativi
Partner company: Ammagamma Srl
The laboratory will go through the different application of data science in the financial world.
We will focus practically on a forecasting use case, trying then to use a large language model to extract precious information from a news stream to enrich the model.
During the lab, we will give a general introduction on GPT family models and challenges/opportunities of the real-world usage of these models.
The laboratory will go through the different application of data science in the financial world.
We will focus practically on a forecasting use case, trying then to use a large language model to extract precious information from a news stream to enrich the model.
During the lab, we will give a general introduction on GPT family models and challenges/opportunities of the real-world usage of these models.
Risultati apprendimento attesi
The students must become able to perform and evaluate a forecast for a financial series, trying to enrich the series signal with usefull exogenous informations, even from unstructured data.
Periodo: Terzo trimestre
Modalità di valutazione: Giudizio di approvazione
Giudizio di valutazione: superato/non superato
Corso singolo
Questo insegnamento non può essere seguito come corso singolo. Puoi trovare gli insegnamenti disponibili consultando il catalogo corsi singoli.
Programma e organizzazione didattica
Edizione unica
INF/01 - INFORMATICA - CFU: 1.5
SECS-S/01 - STATISTICA - CFU: 1.5
SECS-S/01 - STATISTICA - CFU: 1.5
Attivita' di laboratorio: 20 ore