Explainable Machine Learning (XAI)
Completed by DINAH MOHAMMED ALHUMAIDI ALHARBI DINAH MOHAMMED ALHUMAIDI ALHARBI
April 4, 2025
14 hours (approximately)
DINAH MOHAMMED ALHUMAIDI ALHARBI DINAH MOHAMMED ALHUMAIDI ALHARBI'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 Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Large Language Modeling
- Category: Machine Learning
- Category: Generative AI
- Category: Artificial Intelligence
- Category: Responsible AI
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Python Programming
