by EP Analytic Solutions | May 22, 2025 | Resources
This is the third video in the Explicable Precision series. The purpose of this video is to discuss a mathematically canonical way to attend to missing data in a project agnostic fashion. While an appeal to subject matter expertise is always the ideal, this method...
by EP Analytic Solutions | Apr 27, 2025 | Resources
This is the second video in the Explicable Precision series. The purpose of this video is to discuss variable standardization in the context of Data Science. An uncommon, but not unknown method, the probability integral transform, is proposed and an argument for its...
by EP Analytic Solutions | Apr 27, 2025 | Resources
A video series explaining how to create a predictive model which is simultaneously explicable and precise has launched. An introductory video and a video explaining a canonical variable standardization technique have been...
by EP Analytic Solutions | Apr 22, 2025 | Resources
The functions used to construct explicable, precise models and an example illustrating their use have been publicly released through GitHub.
by EP Analytic Solutions | Dec 18, 2024 | Resources
This video is a recording of EP’s CEO giving a talk that he delivered at the Casualty Actuarial Society’s Annual Meeting and the fall meeting of the Midwest Actuarial Forum. In it he attempts to make precise the definition of “disparity” as used in popular...
by EP Analytic Solutions | May 7, 2024 | Resources
After giving his presentation The Mathematics Of Machine Learning at the 2023 fall meeting of Buckeye Actuarial Continuing Education, EP’s owner was asked by Demotech CEO Joseph Petrelli to write an essay on AI in the insurance industry for...
