Explained AI (XAI) is a crucial aspect of modern machine learning. Below are some resources to help you understand and implement XAI in your projects.
Books
- "The Hundred-Page Machine Learning Book" by Andriy Burkov - A concise guide to machine learning, including an introduction to XAI.
Online Courses
- "Practical AI with Python" on Coursera - This course covers XAI and other AI concepts.
Tutorials
- "Implementing XAI in Python" on Towards Data Science - A step-by-step guide to implementing XAI.
Blogs
- "XAI and the Future of AI" on Medium - Insightful articles about the impact of XAI.
Videos
- "Introduction to XAI" on YouTube - A quick overview of XAI.
Tools
- "AI Explainability 360" by IBM - An open-source tool for XAI.
Communities
- "XAI on Reddit" - A community for discussing XAI.
Remember, understanding XAI is key to building trustworthy and transparent AI systems. Keep exploring and expanding your knowledge!
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