Interpretable Machine Learning
Completed by Nicole Ximena Casariego Mera
January 22, 2026
13 hours (approximately)
Nicole Ximena Casariego Mera'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: Artificial Neural Networks
- Category: Large Language Modeling
- Category: Artificial Intelligence
- Category: Embeddings
- Category: Regression Analysis
- Category: Responsible AI
- Category: Data Ethics
- Category: Machine Learning
- Category: Deep Learning
- Category: Decision Tree Learning
- Category: Applied Machine Learning
- Category: Statistical Modeling
