Understanding Machine Learning Interpretability

Introduction to machine learning interpretability, driving forces, taxonomy, example, and notes on interpretability assessment.

Today, machine learning is everywhere, and although machine learning models have shown a great predictive performance and achieved a notable breakthrough in different applications, those machine learning models are getting complex and in turn, their inner working structure and how they arrive at specific outcomes become unclear and hidden even to experts, which presents a serious question: how do we …

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