Explainable Machine Learning (XAI)
Completed by Alisa BARKAR
November 19, 2024
14 hours (approximately)
Alisa BARKAR'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: Scientific Visualization
- Category: Deep Learning
- Category: Image Analysis
- Category: Generative Model Architectures
- Category: Machine Learning Methods
- Category: Generative AI
- Category: Artificial Neural Networks
- Category: Responsible AI
- Category: Python Programming
- Category: Artificial Intelligence
- Category: Model Evaluation
- Category: Data Ethics
