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Description: This is the third in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features. In this episode they focus on feature engineering via the hashing trick. The hashing trick is most applicable for extremely high cardinality, and at first glance can seem almost ridiculous. In a lot of ways, it is the same as bucketing values at random. But there are times that it is more valuable to include randomly engineered buckets than to exclude the original high cardinality feature entirely.

Description: Ideas for using calculus concepts to validate actuarial models. Focus is on reserve valuation models under PBR. Includes examples based on a simple Excel model.

Description: In this captivating podcast, Joe Alaimo, CEO of ProComp, sits down with ChatGPT, one of the most advanced AI models, to delve into the future of the actuarial profession.

Description: Enhance your learning journey with exam resources, modules, and books.

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Description: December 8, 2023 - The health insurance industry has historically used several factors to develop premium rates. Many of these, e.g. gender rating, have been largely eliminated from health insurance rating practices by regulations as the Patient Protection and Affordable Care Act (ACA) because they were determined as inequitable.