Description: Process of building a predictive model and related considerations.

Description: This article is a basic introduction to information theory with the goal of explaining the maximal information coefficient.

Description: The article recaps existing ideas for assessing credibility and describes questions remaining to be answered.

Description: This paper describes techniques that can be used to access any specific piece of information in Wikipedia, such as medical information.

Description: Describes goals of the section for the coming year.

Description: Evaluates the ability of various model types to automatically approximate various mathematical formulas. This can be used as a guide for feature engineering.

Description: Read the August 2019 issue of Predictive Analytics and Futurism published by the Predictive Analytics and Futurism Section. Newsletter provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: In How Significant Is Statistical Significance? The author discusses the p-value that is often used to determine significance. Sometimes we place too much reliance upon canned metrics and lose the ability to notice when something is mathematically sound but not sensible. The article provides three simple examples that require no complicated mathematics to follow yet provide a basis for some deep thought about statistical significance versus substantive significance.

Description: Description of SOA's initiative in predictive analytics

Description: History of Big Data, and approaches to cope with it. The author suggests that actuaries have been using similar methods for a long time; but need to get up to speed on the newer terms and variations.