Explainable Machine Learning (XAI)
Completed by Manuel González MartÃnez
May 21, 2025
14 hours (approximately)
Manuel González MartÃnez's account is verified. Coursera certifies their successful completion of Explainable Machine Learning (XAI)
What you will learn
Explain and implement model-agnostic explainability methods.
Visualize and explain neural network models using SOTA techniques.
Describe emerging approaches to explainability in large language models (LLMs) and generative computer vision.
Skills you will gain
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Scientific Visualization
- Category: Generative Model Architectures
- Category: Data Ethics
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Responsible AI
- Category: Large Language Modeling
