What is machine learning interpretability and why is it important?
Machine learning is a powerful tool for solving complex problems, but it can also be a black box that hides how and why it makes decisions. This can lead to distrust, confusion, and ethical issues, especially when the outcomes affect human lives. That's why machine learning interpretability, or the ability to explain and understand the logic and behavior of a model, is crucial for data scientists and stakeholders. In this article, you'll learn what machine learning interpretability is, why it matters, and how to achieve it.
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