Interpretable Machine Learning
Completed by Kaycee A Collins
January 14, 2025
13 hours (approximately)
Kaycee A Collins'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: Decision Tree Learning
- Category: Statistical Modeling
- Category: Python Programming
- Category: Artificial Neural Networks
- Category: Large Language Modeling
- Category: Responsible AI
- Category: Deep Learning
- Category: Artificial Intelligence
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Regression Analysis
- Category: Data Ethics
