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: Generative AI
- Category: Machine Learning
- Category: Scientific Visualization
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Python Programming
- Category: Generative Model Architectures
- Category: Data Ethics
- Category: Deep Learning
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Model Evaluation
