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: Generative Model Architectures
- Category: Deep Learning
- Category: Image Analysis
- Category: Machine Learning Methods
- Category: Scientific Visualization
- Category: Responsible AI
- Category: Machine Learning
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Model Evaluation
