Episode
What is model interpretability and how can you incorporate it into your data science solutions? (27 of 28)
Interpretability is critical for data scientists, auditors, and business decision makers alike to ensure compliance with company policies, industry standards, and government regulations. In this video you will learn how to use the Model Interpretability toolkit to explain your models to executives and stakeholders, so they can understand the value and accuracy of your findings. Model interpretability is also important to debug your models and make informed decisions about how to improve them.
Interpretability is critical for data scientists, auditors, and business decision makers alike to ensure compliance with company policies, industry standards, and government regulations. In this video you will learn how to use the Model Interpretability toolkit to explain your models to executives and stakeholders, so they can understand the value and accuracy of your findings. Model interpretability is also important to debug your models and make informed decisions about how to improve them.
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