Data Science Toolkit
DSAC’s Data Science Toolkit offers a series of resources related to data science, including defining big data, data bias, correlation and causation, emphasizing how they may affect actuarial modeling, and consumer experience.
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Data Science Toolkit Resources
Issue Brief
Defining Big Data
The Data Science and Analytics Committee released an issue paper, Defining Big Data. The paper is intended to build a shared language and concepts of big data and associated themes for the actuarial…
Issue Brief
Discrimination: Considerations for Machine Learning, AI Models, and Underlying Data
This issue brief defines discrimination (including distinguishing between discrimination, unfair discrimination, and unjust discrimination); presents practical methods for testing and monitoring…
Issue Brief