Explainable Machine Learning (XAI)
Completed by Nguyen Long Bao
January 17, 2025
14 hours (approximately)
Nguyen Long Bao'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: Plot (Graphics)
- Category: Scientific Visualization
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Model Evaluation
- Category: Python Programming
- Category: Machine Learning
- Category: Deep Learning
- Category: Image Analysis
- Category: Generative Model Architectures
- Category: Responsible AI
- Category: Applied Machine Learning
