Interpretable Machine Learning
Completed by Julian Bayerl
January 6, 2025
13 hours (approximately)
Julian Bayerl'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: Large Language Modeling
- Category: Embeddings
- Category: Machine Learning
- Category: Responsible AI
- Category: Data Ethics
- Category: Artificial Neural Networks
- Category: Decision Tree Learning
- Category: Deep Learning
- Category: Machine Learning Algorithms
- Category: Artificial Intelligence
- Category: Applied Machine Learning
- Category: Statistical Modeling
