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