Explainable Machine Learning (XAI)
Completed by Pradeep Warrier
February 11, 2025
14 hours (approximately)
Pradeep Warrier'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: Machine Learning
- Category: Large Language Modeling
- Category: Model Evaluation
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Scientific Visualization
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Generative Model Architectures
- Category: Image Analysis
- Category: Data Ethics
- Category: Deep Learning
