- Docente: Matteo Amabili
- Crediti formativi: 3
- SSD: SECS-S/06
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
- Corso: Laurea Magistrale in Quantitative Finance (cod. 8854)
Conoscenze e abilità da conseguire
The Advanced ML course is geared towards state of the art application of neural network to pricing and market risk problem. The studend will acquire a sound knowledge of the principles underlying Neural Networks and will be guided in a tour of the relevant literature concerning the exploitation of machine learning for pricing of highly exotic products and applications to market risk managment. Altough the approach demands very large scale computing facilities, impossible to be provided to the students, nonetheless students will learn how to design solutions to this type of problem and will gain hands on experience of the methodology on simpler and smaller toy models.
Modalità di verifica e valutazione dell'apprendimento
The final exam will consists of a Machine learning project. During the exam, the student will have to present the developed project and discuss its main aspects as well as the underlying theory.
Strumenti a supporto della didattica
- Slides (power point/pdf)
- Selected literature
- Jupyter Notebook and Python Code
Orario di ricevimento
Consulta il sito web di Matteo Amabili