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Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling (Nested Stochastic)

Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling (Nested Stochastic) The objective of this paper is to provide a practical guide with concrete case ...
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Description: The objective of this paper is to provide a practical guide with concrete case studies to help actuaries implement artificial intelligence and machine learning (AIML) to help accelerate the speed of analysis for life and annuity actuarial modeling. We do so by researching the existing literature regarding AIML and its applicability to stochastic modeling and exploring case studies.
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- Date: May 2023
- Competency: External Forces & Industry Knowledge; Strategic Insight and Integration; Technical Skills & Analytical Problem Solving
- Topics: Modeling & Statistical Methods; Predictive Analytics; Technology & Applications

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Predictive Analytics and Machine Learning – Practical Applications for Actuarial Modeling (Nested Stochastic)