Explainable Machine Learning (XAI)
Completed by Salvatore Emanuel Fusco
April 7, 2025
14 hours (approximately)
Salvatore Emanuel Fusco'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: Image Analysis
- Category: Artificial Intelligence
- Category: Python Programming
- Category: Responsible AI
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Deep Learning
- Category: Data Ethics
- Category: Applied Machine Learning
- Category: Model Evaluation
- Category: Scientific Visualization
- Category: Generative Model Architectures
