Explainable Machine Learning (XAI)
Completed by NAMAN RAI
March 21, 2025
14 hours (approximately)
NAMAN RAI'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: Scientific Visualization
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Machine Learning Methods
- Category: Responsible AI
- Category: Deep Learning
- Category: Image Analysis
- Category: Data Ethics
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Python Programming
