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Kaggle Case Study – Charles Cadman
Charles Cadman and his team may be new to Kaggle’s data science challenges, but that didn’t stop them ... everyone brought a slightly different skillset to the table. They were also used to expressing dissent, something ...- Authors: Society of Actuaries
- Date: Dec 2017
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Topics: Modeling & Statistical Methods>Data mining
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Predictive Modeling for Life Insurance
analysis guiding business decisions is the use of mortality tables to price annuities and life insurance policies ... the actuarial disciplines. Still more recently, U.S. insurers have widely adopted scoring models – ...- Authors: Society of Actuaries
- Date: Apr 2010
- Competency: External Forces & Industry Knowledge; Technical Skills & Analytical Problem Solving>Innovative solutions
- Topics: Modeling & Statistical Methods>Data mining
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How to Get Started in Predictive Analytics
Actuaries” by Alan Mills. Alan put together a handy table listing common forecasting approaches in actuarial ... life insurance—have discrete u/w classes as opposed to more continuous u/w; • might want to classify ...- Authors: Mary Campbell
- Date: Dec 2015
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining; Predictive Analytics
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Calibrating Risk Score Model with Partial Credibility
“offset” variable that represented the original model’s risk score prediction. In a standard linear regression ... The specific error metrics are presented in the table below: Model Description Error Metric on Next Year ...
- Authors: Sheamus Parkes, Brad Armstrong
- Date: Oct 2015
- Competency: Results-Oriented Solutions>Actionable recommendations; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Expanding Horizons
- Topics: Health & Disability>Health care; Health & Disability>Health insurance; Health & Disability>Health risks; Modeling & Statistical Methods>Bayesian methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Estimation methods; Predictive Analytics
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Kaggle Case Study – Michael Xiao
naturally have a good understanding of data, as it’s part of our day-to-day jobs,” said Xiao, who himself ... job and a better data scientist,” said Xiao. “It’s fun to work with new data sets—you get to see things ...
- Authors: Society of Actuaries
- Date: Apr 2018
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Topics: Modeling & Statistical Methods>Data mining
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Assessing Prescription Opioid Risk with Predictive Analytics
National Vital Statistics System. Mortality. CDC Wonder, Atlanta: U.S. Department of Health and Human ... Tamara M. Haegerich, and Roger Chou. Morbidity and Mortality Weekly Report: CDC Guideline for Prescribing ...- Authors: Joseph Boschert, Andrew Gaffner, Barbara Collier
- Date: Oct 2018
- Competency: External Forces & Industry Knowledge>Actuarial methods in business operations; External Forces & Industry Knowledge>Actuarial theory in business context; Leadership>Thought leadership; Professional Values>Practice expertise; Strategic Insight and Integration>Effective decision-making; Strategic Insight and Integration>Influence decisions; Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Health Watch
- Topics: Demography>Population data; Experience Studies & Data; Health & Disability>Health information technology; Modeling & Statistical Methods>Data mining; Predictive Analytics; Technology & Applications>Analytics and informatics; Health & Disability>Electronic medical record
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Using Hadoop and Spark for Distributed Predictive Modeling
naïve Bayes, decision trees, k-mean, etc. (see Table 1). SparkNet, the all-star deep-learning algo- rithm ... responsible for frequency models and loss-cost models. Table 1: Comparisons of the machine learning algorithms ...- Authors: Dihui Lai, Qichun Xu
- Date: Jul 2016
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining; Predictive Analytics
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Modelling Process
be much more important that lead to elevated mortality. For ex- ample, these who frequently visit gas ... more than twice a week leads to 18 times higher mortality,” which is based on statistical modeling on 47 ...- Authors: Qichun Xu
- Date: Dec 2013
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Regression analysis; Predictive Analytics
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The Third Generation of Neural Networks
hyperbolic tangent. Unfor- tunately, all sigmoidal (s-shaped) activation functions are difficult to train ... The weights resulting from FIGURE 4: SIGMOIDAL (S-SHAPED) ACTIVATION FUNCTION DERIVATIVES The above ...- Authors: Jeff T Heaton
- Date: Dec 2015
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Modeling & Statistical Methods>Data mining
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Calibrating Risk Score Model with Partial Credibility
Calibrating Risk Score Model with Partial Credibility This article describes a method that can be ... The specific error metrics are presented in the table below: Model Description Error Metric on Next ...- Authors: Sheamus Parkes, Bradley Armstrong
- Date: Jul 2015
- Competency: Technical Skills & Analytical Problem Solving>Innovative solutions; Technical Skills & Analytical Problem Solving>Problem analysis and definition; Technical Skills & Analytical Problem Solving>Process and technique refinement
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Health & Disability>Health care; Health & Disability>Health insurance; Modeling & Statistical Methods>Bayesian methods; Modeling & Statistical Methods>Data mining; Modeling & Statistical Methods>Estimation methods; Modeling & Statistical Methods>Regression analysis; Predictive Analytics