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Deep Learning in Risk Management: A Gentle Introduction
result that we seek in real-world applications: The primary goal is predictive modeling, and the test data ... both probability and potential dollar impact. The primary human input into ANNs is the articulation of the ...- Authors: Damon Levine
- Date: Sep 2022
- Publication Name: Risk Management
- Topics: Enterprise Risk Management>Risk measurement - ERM; Modeling & Statistical Methods>Deterministic models; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Forecasting
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Chairperson talks about the activities of the section.
Chairperson talks about the activities of the section. Chairperson talks about the activities of ... to assess how well we are doing in meeting the primary objectives established for the section council ...- Authors: Society of Actuaries, Barry Franklin
- Date: Aug 2014
- Competency: Professional Values
- Publication Name: Risk Management
- Topics: Actuarial Profession>Standards of practice; Modeling & Statistical Methods>Forecasting; Pensions & Retirement>Assumptions and methods
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The New U.S. Earthquake Models: A Wake-up Call to Actuaries?
The New U.S. Earthquake Models: A Wake-up Call to Actuaries? In this article, the author discusses ... MODELS CHANGED The earthquake models have three primary components— hazard, engineering, and loss. For ...- Authors: Karen Clark
- Date: Mar 2010
- Competency: External Forces & Industry Knowledge
- Publication Name: Risk Management
- Topics: Enterprise Risk Management; Modeling & Statistical Methods>Forecasting
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Should Actuaries Get Another Job? Nassim Taleb’s work and it’s significance for actuaries
Should Actuaries Get Another Job? Nassim Taleb’s work and it’s significance for actuaries ... adaptive systems such as social economies, health care systems, and property/casualty disasters (earthquakes ...- Authors: Alan Mills
- Date: Mar 2010
- Competency: External Forces & Industry Knowledge
- Publication Name: Risk Management
- Topics: Actuarial Profession; Enterprise Risk Management; Modeling & Statistical Methods>Forecasting