interpretable machine learning with python pdf
Interpretable Machine Learning with Python focuses on creating transparent and explainable models. It emphasizes understanding model decisions‚ ensuring trust and accountability in AI systems‚ and enabling ethical compliance through techniques like SHAP. 1.1 What is Interpretable Machine Learning? Interpretable Machine Learning involves creating models that provide clear explanations for their decisions‚ making them transparent and understandable. It focuses on ensuring that the logic behind predictions is accessible‚ addressing concerns like bias and fairness. Techniques
