Description: This article describes a method that can be useful when re-fitting a risk score model to a population of only moderate size. Learn how to use concepts like ridge regression to train a model with partial credibility.

Description: An overview of the Predictive Analytics World (PAW) conference

Description: A review of the Johns Hopkins Data Science Specialization courses with special emphasis on how they may be useful to actuaries.

Description: This article describes how different types of regression models used for fund modeling can affect the variable annuity's risk exposure report and attribution report.

Description: Summary of the reasons behind our section name change; and a short description of each of the articles in this issue.

Description: December 2016 edition of Predictive Analytics & Futurism

Description: In this article, we will overview some popular tree-based models and understand how such models may be applied to the insurance industry.

Description: A discussion on how to avoid bias when choosing research topics.

Description: Up until recent past, the artificial intelligence portion of data science was looked upon cautiously due to its history of booms and flops . In the latest stream of events, major improvements have taken place in this field and now deep learning, the new leading front for Artificial Intelligence, presents a promising prospect for overcoming problems of big data.

Description: This article goes through some basic data exploration techniques to show how different approaches look.