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Build Better Machine Learning Models By Understanding Their Decisions With SHAP
Build Better Machine Learning Models By Understanding Their Decisions With SHAP
ratings:
Length:
65 minutes
Released:
Oct 9, 2021
Format:
Podcast episode
Description
Machine learning and deep learning techniques are powerful tools for a large and growing number of applications. Unfortunately, it is difficult or impossible to understand the reasons for the answers that they give to the questions they are asked. In order to help shine some light on what information is being used to provide the outputs to your machine learning models Scott Lundberg created the SHAP project. In this episode he explains how it can be used to provide insight into which features are most impactful when generating an output, and how that insight can be applied to make more useful and informed design choices. This is a fascinating and important subject and this episode is an excellent exploration of how to start addressing the challenge of explainability.
Released:
Oct 9, 2021
Format:
Podcast episode
Titles in the series (100)
Podcast.__init__ - Introduction by The Python Podcast.__init__