The Future of Connectivity: Reshaping the Insurance IndustryNavigating the New Culture of Information Exchange and Customer EngagementMar 23Mar 23
Enhancing Model Reliability: Beyond Standard Tests to Logical AssessmentsIn the pursuit of developing robust predictive models, it is paramount to not only rely on traditional testing methodologies provided by…Feb 27Feb 27
Embracing the Diversity of Models: A Pathway to Innovation and EfficiencyFrom Theory to Practice: Harnessing the Potential of Advanced Modeling for Strategic AdvantageFeb 16Feb 16
Regulation of the relationship with ChatGPT — OpenAISince the publication of the powerful text analysis engine, I have found a redundancy in articles that explain what and how to do. This…Jun 9, 2023Jun 9, 2023
K-Means: the meaning of clusteringK-means is a versatile model that can serve both exploratory and explanatory purposesFeb 9, 20231Feb 9, 20231
How to compare results of models using the Gini index and the Lorenz curveThis post will explain how to use the Gini index and the Lorentz curve to compare risk assessment models for insurance policiesOct 9, 2022Oct 9, 2022
The story behind the numbersThe claim that you need to know the world of content, and have a lot of experience with the problem you come to solve when building a…Jul 16, 20221Jul 16, 20221
How can the random component in risk assessment be reduced with external data?written by: Oren Atia & Elad PalensiaDec 27, 2020Dec 27, 2020
What you must know about Pandas — hands-on ScenarioIf you had asked me five years ago, what is the best method to handle and manipulate data, I would probably answer — database or excel. A…Jul 14, 2020Jul 14, 2020