What is Azure Machine Learning Interpretability, and how does it help in understanding model predictions? Azure Machine Learning Interpretability (ML Interpretability) is a set of tools and techniques provided by Microsoft Azure to help data scientists, machine learning practitioners, and organizations gain insights into how machine learning models make predictions. It focuses on making complex machine learning models more understandable and transparent, especially in cases where model interpretability is crucial for decision-making, compliance, or trust.

Jayasudha Arunkumar 3 jaar geleden