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About Actuarial Data Scientist Program: Third edition - Module 2 (16 CPD)

Actuarial Data Scientist Program: Third edition - Module 2 (16 CPD)

IA|BE is organizing for the third 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 Reacfin and a team of KU Leuven affiliated researchers in (insurance) data science, coordinated by prof. K. Antonio.

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 2: Machine Learning for Classification and Regressions

This module gradually introduces classification and regression trees up to competition winning ensemble methods for classification and regression problems.

Participants will explore how ensembles of decision trees achieve superior performance and learn how to calibrate them in practice. The module will also include one session on clustering, a common Data Science application.

Price :

  • When registering for the full programme of 3 Modules : 800 € / Module
  • Otherwise : 1 000 € / 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 20.

Schedule of Module 2: Machine Learning for Classification and Regressions

Day 1, Thursday 26 January
16:00 - 18:00 Decision Trees in classification and regression (Part I) By TRUFIN Julien
Day 2, Thursday 2 February
16:00 - 18:00 Programming : Basics of regression and classification trees in Python
Day 3, Wednesday 8 February
16:00 - 18:00 Decision Trees in classification and regression (Part II) By TRUFIN Julien
Day 4, Thursday 16 February
16:00 - 18:00 Programming : From simple regression and classification trees to ensembles of trees (bagging and random forests)
Day 5, Monday 13 March
16:00 - 18:00 Theory Boosted and Bagged ensembles By TRUFIN Julien
Day 6, Thursday 16 March
16:00 - 18:00 Programming: Stochastic gradient boosting machines and XGBoost
Day 7, Thursday 23 March
16:00 - 18:00 Neural Networks By ANTONIO Katrien
Day 8, Thursday 30 March
16:00 - 18:00 Programming : Deep Learning
18:00 - 23:59 Assignment after Module 2

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Prices

Ticket type Price
Members (Per Module) € 1,000.00
Members (Price/Module in case of participating in the whole program of the 3 modules) € 800.00
Non-members (Per Module) € 1,250.00
Non-members (Price/Module in case of participating in the whole program of the 3 modules) € 1,000.00