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Demystifying Machine Learning: Techniques for Model Transparency and Interpretation

Description

In actuarial modeling, transparency is crucial for constructing effective models and translating complex results into actionable business insights. This Pinnacle APEX Webinar will discuss the advanced methods for interpreting "black box" machine learning models, focusing on tools like SHAP and LIME. Pinnacle’s Consulting Actuaries Kunshan Yin, Joseph Sveda and Data Scientist Erool Palipane will explore the calculation and application of these tools, demonstrating how they can be leveraged to enhance model interpretability, ensure regulatory compliance and improve decision-making.

Presenters