Explainable Machine Learning (XAI)
Completed by RAHAF MOHAMMED ABDULWAHAB ALBELALY RAHAF MOHAMMED ABDULWAHAB ALBELALY
March 10, 2025
14 hours (approximately)
RAHAF MOHAMMED ABDULWAHAB ALBELALY RAHAF MOHAMMED ABDULWAHAB ALBELALY'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 Neural Networks
- Category: Generative AI
- Category: Deep Learning
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Large Language Modeling
- Category: Machine Learning
- Category: Machine Learning Methods
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Python Programming
