Interpretable Machine Learning
by Coursera
Learn interpretable machine learning from Duke University on Coursera. Gain skills in transparent AI, model explainability, and responsible machine learning practices.
Why this course
- Covers essential interpretability methods like LIME and SHAP with real-world relevance
- Emphasizes responsible AI principles crucial for high-stakes decision-making
- Well-structured modules that build from foundational to applied concepts
- Case studies from healthcare and finance enhance practical understanding
