Interpretable Machine Learning
Completed by Michal Kobak
May 6, 2025
13 hours (approximately)
Michal Kobak'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: Regression Analysis
- Category: Artificial Neural Networks
- Category: Machine Learning Algorithms
- Category: Decision Tree Learning
- Category: Deep Learning
- Category: Responsible AI
- Category: Artificial Intelligence
- Category: Embeddings
- Category: Machine Learning
- Category: Python Programming
- Category: Applied Machine Learning
- Category: Statistical Modeling
