Programme

WEB SESSION

5/6 Jun 2023

ML Explainability in Actuarial Data Science: A Practical Primer

Monday, 05 June 2023

Tuesday, 06 June 2023

09:00 - 10:30 Supervised Learning 1
- Surrogate models: Extending marginal projections
- LIME and SHAP: Combinatorially exploring the model's feature space
10:30 - 10:45 Break
10:45 - 12:15 Supervised Learning 1
- Practice Session LIME/SHAP
12:15 - 13:15 Break
13:15 - 14:45 Supervised Learning 2
- Towards notions of confidence for distribution-free models: "Are residuals indicative without priors?"
- Explaining Artificial Neural Nets
14:45 - 15:00 Break
15:00 - 16:30 Supervised Learning 2
- Practice Session Neural Net Explainability
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Preliminary programme. All the above times are given in CEST (Central European Time).

Seminar Details

Programme

CPD Credits

Participant Feedback

4.4 of 5 Points