Interpretable Machine Learning
Completed by Patrick Haller
November 24, 2024
13 hours (approximately)
Patrick Haller'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: Machine Learning
- Category: Artificial Neural Networks
- Category: Large Language Modeling
- Category: Statistical Modeling
- Category: Artificial Intelligence
- Category: Embeddings
- Category: Decision Tree Learning
- Category: Machine Learning Algorithms
- Category: Deep Learning
- Category: Regression Analysis
- Category: Responsible AI
- Category: Data Ethics
