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: Artificial Intelligence
- Category: Python Programming
- Category: Responsible AI
- Category: Deep Learning
- Category: Image Analysis
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Large Language Modeling
