Explainable Machine Learning (XAI)
Completed by TAIF MOHAMMED MUBARAK AL IRFAN TAIF MOHAMMED MUBARAK AL IRFAN
March 10, 2025
14 hours (approximately)
TAIF MOHAMMED MUBARAK AL IRFAN TAIF MOHAMMED MUBARAK AL IRFAN'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 Neural Networks
- Category: Deep Learning
- Category: Data Ethics
- Category: Image Analysis
- Category: Machine Learning Methods
- Category: Applied Machine Learning
- Category: Machine Learning
- Category: Scientific Visualization
- Category: Artificial Intelligence
- Category: Generative Model Architectures
- Category: Model Evaluation
