IA|BE is organizing for the 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.
Each of these modules can also be taken separately.
Module 1: Foundations of Machine Learning in Actuarial Sciences
This module encompasses some of the classical actuarial methods such as (generalized) linear models to introduce classification and regression problems.
This module strengthen the actuarial background and develops the (generalized) linear models up to an overview modern deep learning, gradually introducing key machine learning concepts.
More info about the second module is available here.
More info about the third module is available here.
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 1: Foundations of Machine Learning in Actuarial Sciences
| Day 1, Thursday, 7 November | |
| 16:00 - 18:00 | Linear Models and conditional estimation By ANTONIO Katrien |
| Day 2, Thursday, 14 November | |
| 16:00 - 18:00 | Programming : Foundations of actuarial learning and the organization of the training By VAN DAM Daniel, VAN ES Raymond |
| Day 3, Thursday, 21 November | |
| 16:00 - 18:00 | Generalized Linear Models By ANTONIO Katrien |
| Day 4, Thursday, 28 November | |
| 16:00 - 18:00 | Programming : LMs and GLMs |
| Day 5, Thursday, 5 December | |
| 16:00 - 18:00 | Regularisations and links with other support vector machines By ANTONIO Katrien |
| Day 6, Thursday, 12 December | |
| 16:00 - 18:00 | Programming : Regularisation |
| Day 7, Monday, 16 December | |
| 16:00 - 18:00 | Clustering methods By HAINAUT Donatien |
| Day 8, Thursday, 19 December | |
| 16:00 - 18:00 | Programming : Clustering |
| Day 9, Friday, 31 January | |
| 18:00 - 23:59 | Assignment after Module 1 |