Model Interpretability Techniques: Making AI Easy to Understand
Model interpretability techniques are ways to understand how artificial intelligence (AI) models make decisions. Imagine AI as a magic box that gives answers, but you don’t know how it works. These techniques help open that box, making AI clear and trustworthy. Therefore, let’s dive into why these methods matter, how they work, and what tools you can use to make AI easier to understand. In today’s...