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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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Session 174: R 101: Available Actuarial Packages & Creating Reproducible Actuarial Analyses
Analyses The session offers high-level initial steps to get started using R, as well as a list of helpful ... introduced to the markdown package for creating reproducible and reusable analyses and workflows. By the end of ...- Authors: Nicholas Hanewinckel, Matthew Zhang, Hadrien Dykiel, Ron Curran
- Date: Mar 2020
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Experience Studies & Data; Experience Studies & Data>Mortality; Modeling & Statistical Methods
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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
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Practical Aspects of Predictive Models
Practical Aspects of Predictive Models This session will explore the practical aspects of bringing models ... versioning, documentation, peer review and monitoring the model over its lifespan. 11/20/2019 12:00:00 AM ...- Authors: Qichun Xu, Talex Diede, Nicholas Hanewinckel, Gary Hatfield, Stuart Klugman
- Date: Nov 2019
- Competency: Results-Oriented Solutions
- Topics: Technology & Applications>Computer science; Technology & Applications>Software
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Session 07:B/I - Jupyter Notebooks: Interactive, Sharable Documents Consolidating Input, Output, and Documentation Across Multiple Programming Languages
rapidly growing fields and the tools are evolving at a formidable pace. The actuary who wants to be most ... effective will most likely have to learn at least the basics of more than one programming language, such as ...- Authors: Nicholas Hanewinckel, Julia Druce
- Date: Sep 2019
- Competency: Technical Skills & Analytical Problem Solving
- Topics: Predictive Analytics