Laboratory Ml in Finance
A.Y. 2023/2024
Learning objectives
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.
Expected learning outcomes
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.
Lesson period: Third trimester
Assessment methods: Giudizio di approvazione
Assessment result: superato/non superato
Single course
This course cannot be attended as a single course. Please check our list of single courses to find the ones available for enrolment.
Course syllabus and organization
Single session
INF/01 - INFORMATICS - University credits: 1.5
SECS-S/01 - STATISTICS - University credits: 1.5
SECS-S/01 - STATISTICS - University credits: 1.5
Laboratory activity: 20 hours