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 Demotech’s quarterly...
by EP Analytic Solutions | Sep 6, 2023 | Resources
This conversation resulted from EP’s CEO being asked by the economist Bob Murphy to comment on episode 229 of his show. Episode 229 began with a discussion about the counter intuitive results of the Riemann Rearrangement Theorem and proceeded to critique aspects...
by EP Analytic Solutions | Jun 22, 2022 | Resources
This is a talk given at the 2022 Amazon re:MARS conference. It is a longer version of the talk given at the 2021 All Things Open conference with a similar name. The purpose of this talk is to learn about the mathematics that provide the foundation for machine...
