aws-mlu-explain
📚 Tutorialaws-samples
Interactive, visual explanations of complex machine learning concepts using D3.js and Svelte.
The aws-mlu-explain repository is a collection of interactive web-based modules designed to explain core machine learning principles. Unlike traditional static documentation, these modules utilize dynamic data visualizations to allow users to manipulate parameters and observe real-time changes in model behavior. Built primarily with JavaScript, D3.js, and Svelte, the project covers a wide range of topics including neural networks, gradient descent, and various statistical concepts. Each article is crafted to bridge the gap between theoretical understanding and practical application, making complex topics accessible through visual storytelling. The codebase is modular, allowing contributors to build new interactive visualizations that maintain a consistent, high-quality educational standard.
💡Highlights
- ├─Interactive D3.js visualizations
- ├─Svelte-powered web modules
- └─Complex ML concepts demystified
🎯For
- ├─Data science students
- ├─AI educators
- └─Machine learning engineers