IA|BE is organizing for fourth time a training program that will offer the possibility to obtain a certificate: the IA|BE Actuarial Data Scientist Certificate.
The objective of the training is to provide to the participants a deep understanding of key Data Science methods, their domain of applicability, key results of interest for practitioners and connections with the classical actuarial methods.
Moreover, the program emphasizes on applied programming practice and demystifies concepts such as model deployment in a corporate environment, MLOps, Object-Oriented programming, code management tools (e.g. Github), and principles of software engineering. For this purpose, Python has been chosen as programming language.
The program consists of 3 modules, each of which is followed by an assignment.
Each module consists of 4 theory sessions and 4 programming sessions.
The theory sessions will be given by the professors of the KU Leuven, UC Louvain and Université Libre de Bruxelles.
For the programming sessions, the Board of IA|BE has decided to cooperate with Milliman.
Participants who successfully complete the 3 modules will receive the Certificate of IA|BE Actuarial Data Scientist.
Module 3: Advanced topics in Machine learning
This module extends on the learnings from the two previous modules to introduce transparency and ethics in machine learning models.
The importance and choice of variables, their (additive) contributions to the model's behavior and causal relations will be explored.
Price:
Members: 960 € / Module
Non-Members: 1.200 € / Module
Practical information:
The sessions will be set up online.
In order to guarantee optimal training conditions and interactivity of the programming sessions, the number of participants is currently limited to 25.
Schedule of Module 3 : Advanced topics in Machine Learning
Day 1, Monday, 12 May | |
16:00 - 18:00 | Explainability and transparency of Machine Learning Models. By HAINAUT Donatien |
Day 2, Thursday, 15 May | |
16:00 - 18:00 | Programming By VAN DAM Daniel, VAN ES Raymond |
Day 3, Thursday, 22 May | |
16:00 - 18:00 | Variable selection and model agnostic methods By VAN OIRBEEK Robin |
Day 4, Thursday, 5 June | |
16:00 - 18:00 | Programming By VAN DAM Daniel, VAN ES Raymond |
Day 5, Thursday, 12 June | |
16:00 - 18:00 | (Generative) Artificial Intelligence |
Day 6, Thursday, 19 June | |
16:00 - 18:00 | Programming By VAN DAM Daniel, VAN ES Raymond |
Day 7, Tuesday, 24 June | |
16:00 - 18:00 | AI & Ethics By ANTONIO Katrien |
Day 8, Thursday, 26 June | |
16:00 - 18:00 | Programming |
Day 9, Sunday, 31 August | |
16:00 - 23:59 | Third assignment |