Interpretable Machine Learning
Completed by Felix Jonathan Meigel
March 1, 2026
13 hours (approximately)
Felix Jonathan Meigel's account is verified. Coursera certifies their successful completion of Interpretable Machine Learning
What you will learn
Describe and implement regression and generalized interpretable models
Demonstrate knowledge of decision trees, rules, and interpretable neural networks
Explain foundational Mechanistic Interpretability concepts, hypotheses, and experiments
Skills you will gain
- Category: Data Ethics
- Category: Artificial Intelligence
- Category: Embeddings
- Category: Machine Learning
- Category: Artificial Neural Networks
- Category: Large Language Modeling
- Category: Responsible AI
- Category: Regression Analysis
- Category: Machine Learning Algorithms
- Category: Decision Tree Learning
- Category: Deep Learning
- Category: Applied Machine Learning
