Mar 14, 2023

This is the fourth in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features.  In the prior episodes we focused on approaches to handling individual high cardinality features, but these methods did not explicitly address feature interactions.  Factorization...

Feb 21, 2023

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...

Jan 31, 2023

This is the second in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features.  In this episode they focus on y-aware feature engineering.  Y-aware feature engineering is all about carefully bleeding information from your training response back into your engineered...

Jan 10, 2023

This is the first in a 4-part series where Anders Larson and Shea Parkes discuss predictive analytics with high cardinality features.  In this episode they focus on introducing what high cardinality features are, why you might want to work with them and some of the basic approaches to including them in...

Oct 13, 2022

This is the third and final installment of a 3-part series where Joe Alaimo and Andy Rallis discuss the different types of software testing, what they are, how they are performed and ways that they apply to the software development that actuaries are involved in. 

Full Description: Have you ever been involved with a...