Explainable Machine Learning (XAI)
Completed by LANA ABDULMAJEED M ALMOUSA LANA ABDULMAJEED M ALMOUSA
March 18, 2025
14 hours (approximately)
LANA ABDULMAJEED M ALMOUSA LANA ABDULMAJEED M ALMOUSA'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: Data Ethics
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Deep Learning
- Category: Image Analysis
- Category: Generative AI
- Category: Model Evaluation
- Category: Large Language Modeling
- Category: Machine Learning
- Category: Artificial Intelligence
- Category: Generative Model Architectures
