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  • R Corner: Predictive Modeling - Tree Models
    One benefit of using predictive models is that it can give you a quick grasp of what is in the data. Sometimes ... tree regression models. You will need to install the “tree” package into R and then load that package ...
    • Authors: Steven Craighead
    • Date: May 2016
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: CompAct
    • Topics: Experience Studies & Data
  • R Corner – Predictive Modeling - Data
    actually takes the majority of your time. So, in this article, a look at two different sources of data is taken ... takes the majority of your time. So, in this article, we will look at two different sources of data, ...
    • Authors: Steven Craighead
    • Date: Mar 2016
    • Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
    • Publication Name: CompAct
    • Topics: Experience Studies & Data
  • Deep Learning and Actuarial Experience Analysis
    Crompton and Frankie Logan Deep learning is a type of artificial intelligence that has been successfully ... amounts of data and have nonlinear relationships between the inputs and outputs. Perhaps the two most ...

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    • Authors: Kevin Kuo, Robert Crompton
    • Date: May 2019
    • Competency: Results-Oriented Solutions
    • Publication Name: CompAct
    • Topics: Experience Studies & Data; Experience Studies & Data>Mortality; Experience Studies & Data>Policyholder or participant behavior - Experience ; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
  • Standards: XTbML Tables Beyond Mortality
    Standards: XTbML Tables Beyond Mortality This article highlights business use cases where ... highlights business use cases where XTbML can define the tabled data in actuarial tables. Computer science; ...

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    • Date: May 2004
    • Competency: Technical Skills & Analytical Problem Solving>Process and technique refinement
    • Publication Name: CompAct
    • Topics: Experience Studies & Data; Technology & Applications>Computer science