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Session 24: B/I - How Can an Actuary Become a Data Scientist?
Session 24: B/I - How Can an Actuary Become a Data Scientist? This session will explain how, by applying his or her educational background and business experience, an actuary can quickly learn ...- Authors: Rosmery Cruz, Qichun Xu
- Date: Sep 2019
- Competency: Results-Oriented Solutions
- Topics: Actuarial Profession>Professional development
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Session 18: AP - Using Predictive Models for Life Insurance Assumptions
Session 18: AP - Using Predictive Models for Life Insurance Assumptions Predictive modeling is a powerful toolset for assumption setting (mortality, lapse, etc.). The multivariate approach has ...- Authors: Rosmery Cruz, Dihui Lai
- Date: Sep 2019
- Competency: Strategic Insight and Integration
- Topics: Actuarial Profession>Best practices; Actuarial Profession>Management skills; Technology & Applications>Artificial intelligence & machine learning
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Session 12: B/I - Dangers of Overfitting; Myths and Facts of Predictive Analytics (PA)
Session 12: B/I - Dangers of Overfitting; Myths and Facts of Predictive Analytics (PA) Simple mathematical equations often outperform very complex ones in predictive analytics (PA) situations.- Authors: Rosmery Cruz, Bradley Joseph Lipic
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Actuarial Profession>Best practices