This course is designed to comprehensively introduce data-driven Artificial Intelligence (AI) techniques based on statistical learning, machine learning (ML) and deep learning, highlighting their potential and limitations. Participants with previous coding experience will engage with experts, gaining hands-on experience with ML/AI methods in Python to demystify complex algorithms, promoting ex-post self-directed learning.
Furthermore, the course also involves an in-depth exploration of real-world case studies and industry insights, addressing current and emerging trends and associated policy considerations. This training week is designed for participants with a foundational understanding of machine learning, aiming to enhance their theoretical and practical expertise in this technology.
Lectures
Introduction to statistical learning, machine learning and deep learning,
Predictive models and linear regression,
Classification models and logistic regression,
Feature selection and regularisation,
Tree models, random forests and gradientboosting,
Neural Networks and Natural Language Processing.
Applied Sessions
Python applications of the theoretical sessions,
Main EU AI regulatory initiatives,
SAFE (Sustainability, Accuracy, Fairness and Explainability) Artificial Intelligence in Finance and Other Ethics Considerations,
NCA SupTech case studies,
Supervisory dialogue with the industry on market developments
Understanding and describe the most common ML techniques and models,
Understanding and describe basic NLP and deep learning applications,
Understanding how to evaluate the safety and trustworthiness of AI applications,
Implementing AI applications in Phyton,
Analysing and interpreting real-world case studies and industry insights,
Identifying the potential implications of EU regulation for AI for financial markets.
Logistics
The foundational training weeks will be held at the FBF, within the premises of the EUI (Florence, Italy).
Each course will start on a Monday at 9 am and will end on a Thursday, approximately at lunch time.
FBF will reimburse travel in economy class (up to 450 euros) and accommodation for the duration of the course (up to 4 nights and up to a given ceiling), local public transportation and taxi expenses up to 100 €. Lunches, coffee breaks and a social dinner/activity, as indicated in the programme of every training week will be directly covered by FBF.
Accommodation expenses will be reimbursed to participants after the event according to the following ceiling: up to EUR 160 per night (city tax included), for a maximum of 4 nights
Training participants are responsible for booking both their flight and their accommodation in Florence. These expenses will be reimbursed after the end of the event upon the upload of the travel documentation and the relevant invoices (including boarding passes) to the online EUI reimbursement application (link and instructions will be duly shared with participants after the end of the event).
A list of conveniently located hotels will be provided to participants, but they are of course free to book hotels other than the ones suggested. In both cases, participants will be reimbursed up to the agreed ceiling and for single occupancy.
If participants book a hotel and share a double room, they must ask for the single room rate to be indicated on the hotel bill. Failing this, 25% of the price of the double room will be deducted from their reimbursement.
Participants can book their accommodation also on Airbnb, but in case they share the apartment with other people, the reimbursement will be divided by the number of guests.
A private transportation service will connect participants from/to Piazza dell’Indipendenza to/from the training venue every day. A detailed timetable will be provided before the starting of each training week.