This repository contains the Chinese translation of ‘Interpretable Machine Learning’ by Christoph Molnar, which systematically covers methods for interpreting and explaining machine learning models. The book addresses the need for transparency in ML systems used in sensitive domains like finance, healthcare, and legal applications. It provides both intuitive explanations and mathematical descriptions of various interpretability techniques.