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  • Back When I Was an Actuary ...
    Back When I Was an Actuary ... This is an Editorial describing the need for actuaries to upgrade skills or risk minimization from artificial intelligence. Career planning, Professional ...

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    • Authors: David L. Snell
    • Date: Aug 2019
    • Competency: Communication; External Forces & Industry Knowledge; Strategic Insight and Integration
    • Publication Name: Predictive Analytics and Futurism Newsletter
    • Topics: Actuarial Profession; Predictive Analytics; Predictive Analytics>Programming languages & tools
  • Predictive Analytics in a Chaotic Data World
    Predictive Analytics in a Chaotic Data World Often actuarial practitioners are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest ...

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    • Authors: Wai Chan
    • Date: Sep 2019
    • Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
    • Topics: Predictive Analytics; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
  • Yi-Ling Lin: SOA Predictive Analytics Program Prepares You for Health Care’s Future
    Yi-Ling Lin: SOA Predictive Analytics Program Prepares You for Health Care’s Future Yi-Ling Lin, FSA, MAAA, FCA, started the SOA’s Predictive Analytics Certificate Program to keep pace with the ...

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    • Authors: Society of Actuaries
    • Date: Nov 2019
    • Topics: Health & Disability; Health & Disability>Chronic health management - Health & Disability; Health & Disability>Health care; Health & Disability>Health care quality; Health & Disability>Health information technology; Health & Disability>Health insurance; Health & Disability>Health risks; Health & Disability>Payment models; Predictive Analytics; Health & Disability>Affordable Care Act (ACA); Health & Disability>Association Health Plans; Health & Disability>Claims - Health & Disability; Health & Disability>Provider networks; Health & Disability>Provider risk; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools; Health & Disability>Electronic medical record
  • Predictive Analytics in a Chaotic Data World
    Predictive Analytics in a Chaotic Data World Often actuarial practitioners are faced with working with data that is less than ideal. The data may be observed with gaps in it, a model may suggest ...

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    • Authors: Wai Chan
    • Date: Sep 2019
    • Competency: Results-Oriented Solutions
    • Topics: Predictive Analytics; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
  • Python Libraries for Mortality Modeling
    Python Libraries for Mortality Modeling Python is the leading programming language for data science. Python programming is one skill that actuaries should acquire. It facilitates analytic work, ...

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    • Authors: Carlos Brioso
    • Date: Nov 2019
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuary of the Future
    • Topics: Modeling & Statistical Methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Regression analysis; Predictive Analytics; Predictive Analytics>Programming languages & tools
  • Tidy Mortality Data
    Tidy Mortality Data Description of methods for extracting and reformatting the existing mortality tables using R. Methods and formats for storage are discussed in the second article. Intent is to ...

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    • Authors: Matthew Caseres
    • Date: Apr 2020
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: The Modeling Platform
    • Topics: Experience Studies & Data; Predictive Analytics; Predictive Analytics>Programming languages & tools
  • Ehren Nagel: SOA Predictive Analytics Certificate Has Positively Impacted My Work
    Ehren Nagel: SOA Predictive Analytics Certificate Has Positively Impacted My Work Early in his career, Ehren Nagel, FSA, MAAA, scoured through podcasts and articles about predictive analytics, ...

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    • Authors: Society of Actuaries
    • Date: Nov 2019
    • Topics: Health & Disability; Health & Disability>Chronic health management - Health & Disability; Health & Disability>Health care; Health & Disability>Health care quality; Health & Disability>Health information technology; Health & Disability>Health insurance; Health & Disability>Health risks; Health & Disability>Payment models; Predictive Analytics; Health & Disability>Affordable Care Act (ACA); Health & Disability>Association Health Plans; Health & Disability>Claims - Health & Disability; Health & Disability>Provider networks; Health & Disability>Provider risk; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools; Health & Disability>Electronic medical record
  • Principal Component Analysis using R
    Principal Component Analysis using R Principal component analysis is an unsupervised linear transformation mainly used for dimension reduction. Determine key numerical variables with maximum ...

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    • Authors: Soumava Dey
    • Date: Jun 2020
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Actuarial Technology Today
    • Topics: Technology & Applications>Analytics and informatics; Predictive Analytics>Programming languages & tools; Technology & Applications>Artificial intelligence & machine learning; Technology & Applications>Visualization
  • Cambodian Insured Lives Mortality with Data Science
    Cambodian Insured Lives Mortality with Data Science Our firm has developed the first publicly available insured lives mortality table for Cambodia using data science methods. This essay provides ...

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    • Authors: Nicholas Yeo
    • Date: Jul 2020
    • Competency: Technical Skills & Analytical Problem Solving
    • Publication Name: Innovators & Entrepreneurs
    • Topics: Predictive Analytics>Programming languages & tools; Technology & Applications>Artificial intelligence & machine learning
  • Deep Learning and Actuarial Experience Analysis
    Deep Learning and Actuarial Experience Analysis Deep learning neural network applied to experience analysis for post-level term lapse and mortality. Neural networks, Mortality Assumption, ...

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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