Duration

5 days: A two-day online introduction followed by a three-day in-person event in Frankfurt

Online: 11 and 12 March 2025
In-person: 25 to 27 March 2025

Deadline for application

10 January 2025

Objective

analysis and informed decision-making. This course is designed for experienced professionals looking to harness these methods in their organisation.

During the course, participants will gain a deeper understanding of selected methods, acquire practical skills through hands-on examples in Python, and develop and implement a real-world use case in their domain.

The online part introduces selected advanced machine learning methods and enables participants to gain practical experience with examples in Python. Moreover, we will guide participants on how to draft a one-pager describing a selected use case in their domain, which they will develop in the in-person part.

The in-person part consists of an agile development workshop for participants to develop their use case and address the practical challenges associated with its implementation. It features hands-on ideation, programming, and collaboration sessions, including feedback from the moderators and from peer-groups.

This course provides a forum for central bankers, regulators, and supervisors to discuss strategies for developing and implementing use cases that leverage advanced machine learning methods. It presents a unique setting to exchange knowledge and foster future collaborations.

Contents

• Interpretable Machine Learning
• Causal Inference
• Natural Language Processing
• Use Case Development Workshop

Target group

The course is aimed at data-savvy central bankers, regulators and supervisors in areas such as information technology and statistics, or research departments interested in implementing machine learning methods.

Fundamental knowledge of data analysis and statistical software (including commands in Python) is required.

Participants are expected to make an active contribution to the discussions and will be asked to present their use case and provide feedback to other participants.

Technical requirements

Computer with microphone, camera, speakers or headphones, an up-to-date internet browser.

Please note:

A nomination is required in order to participate in our in-person courses.

Only one registration is required for the course (parts 1 and 2).