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: Model Evaluation
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Scientific Visualization
- Category: Generative Model Architectures
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Artificial Intelligence
- Category: Image Analysis
- Category: Responsible AI
- Category: Deep Learning
