Interpreting Predictions from Complex Models

Interpreting Predictions from Complex Models

Presented By Ruben Kogel
Ruben  Kogel
Ruben Kogel
Director of Data Science, VSCO

Ruben is the head of data analytics at VSCO, a creative platform and a community for photographers. Prior to that he was leading content analytics at Udemy, an online education platform. And prior to that he had a completely different job working on chip manufacturing technology. Ruben’s interests span statistics, machine learning, economics, and photography.

Presentation Description

With large modern datasets the best accuracy is often achieved by complex models even experts struggle to interpret. Here, we present a unified framework for interpreting predictions, namely SHAP (SHapley Additive exPlanations)

Presentation Curriculum

Interpreting Predictions from Complex Models
39:22
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