机器学习和人工智能基础产生可解释的人工智能(XAI)和可解释的机器学习解决方案
- 0 - Introduction
- 1. Exploring the world of explainable AI and interpretable machine learning
- 2. Target audience
- 3. What you should know
- 1 - What Are XAI and IML
- 1. Understanding the what and why your models predict
- 2. Variable importance and reason codes
- 3. Comparing IML and XAI
- 4. Trends in AI making the XAI problem more prominent
- 5. Local and global explanations
- 6. XAI for debugging models
- 7. KNIME support of global and local explanations