Explainable Machine Learning (XAI)
Completed by Phuong Hoang
December 1, 2024
14 hours (approximately)
Phuong Hoang'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: Applied Machine Learning
- Category: Machine Learning
- Category: Plot (Graphics)
- Category: Deep Learning
- Category: Image Analysis
- Category: Responsible AI
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Model Evaluation
