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Exploiting While Exploring: An Introduction to Bayesian Optimization
Definitions and Side Notes If this is new to you, let’s define what a hyperparameter is versus a more familiar ... space, we use a surrogate model to model our model’s hyperparameters. Specifically, we choose a Gaussian ...- 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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What Actuaries Can Learn from Data Scientists
business understanding (e.g., post-level term mortality for life Insurance, or the implications of no-fault ... is to increase your knowledge constantly! While it’s hard to openly admit when you don’t know or understand ...
- 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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Back When I Was an Actuary ...
skill sets. If all you do is assimilate data on mortality and morbidity, or reserve needs, and determine ... small target for replacement versus over a million U.S. doctors7 and even more lawyers.8 But it is time ...- 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