Description: The artcle looks at the most important features necessary to conduct a meaningful quantitative analysis. The article also discusses how predictive analytics should be used as a tactic to anwer question and not an end in of itself.

Description: Actuaries have the opportunity to transform to a new role that utilizes predictive analytics and new data sources such as epigenetics, to better humankind.

Description: This article gives a brief overview of ways to extend clustering analysis beyond basic methods such a k-means

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

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

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: A discussion on machine learning and how it can be used for forecasting.

Description: Overview of regularization and least angle regression approaches.

Description: Description of SOA's initiative in predictive analytics

Description: Summary of what the section has accomplished over the past year.