Explainable Machine Learning (XAI)
Completed by NAMAN RAI
March 21, 2025
14 hours (approximately)
NAMAN RAI'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: Generative Model Architectures
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Model Evaluation
- Category: Deep Learning
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Data Ethics
- Category: Large Language Modeling
- Category: Responsible AI
- Category: Plot (Graphics)
- Category: Python Programming
