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What Actuaries Can Learn from Data Scientists
Actuaries Can Learn from Data Scientists A description of Data Science best practice tools and how they can ... without a data science background, there are a lot of small things to learn from data scientists that can ...- Authors: Nicholas Hanewinckel
- Date: Aug 2021
- Competency: Relationship Management; Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: FinTech & InsurTech; Predictive Analytics>Programming languages & tools; Predictive Analytics>Quality control & model governance
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Exploiting While Exploring: An Introduction to Bayesian Optimization
Introduction to Bayesian Optimization An introduction to the methods and parameters for Bayesian Hyperparameter ... start with parametric statistical models. The classic example is the ordinary least squares (OLS) method to ...
- Authors: Nicholas Hanewinckel
- Date: Jun 2021
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter
- Topics: Life Insurance; Predictive Analytics>Modeling techniques; Predictive Analytics>Programming languages & tools
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Kinky Business: Nonlinear Relationships in Linear Models
Relationships in Linear Models This article explores the use of Generalized Additive Models and Multivariate ... supervised methods to determine the optimal shape of the predictors in the model. Users are provided an ...- Authors: Nicholas Hanewinckel
- Date: Jun 2020
- Competency: Results-Oriented Solutions; Technical Skills & Analytical Problem Solving
- Publication Name: Predictive Analytics and Futurism Newsletter