I’m thrilled to share an incredible resource with you – a website that visualizes machine learning algorithms and derives math from scratch! As someone interested in ML, I know how daunting it can be to grasp complex concepts. That’s why this website is a game-changer.
The creator, Bright_Aioli_1828, has done an amazing job of breaking down ML algorithms into interactive, visual representations. You can explore how they work, step-by-step, and even dive into the math behind them.
What I love most about this website is its focus on first-principles understanding. By using NumPy and LaTeX, the math is explained from the ground up, making it accessible to anyone willing to learn.
Here are some of the key features that make this website stand out:
* **Interactive Notebooks**: Use marimo and Project Jupyter to experiment with ML algorithms in real-time.
* **Math from Scratch**: Learn the underlying math behind each algorithm, explained from first principles.
* **Fully Open-Sourced**: Contribute to the project or use the code for your own projects.
* **Community Building**: Join the conversation, ask questions, and get involved in the development process.
Check out the website at https://ml-visualized.com/ and explore the GitHub repo at https://github.com/gavinkhung/machine-learning-visualized.
This resource is a treasure trove for anyone looking to deepen their understanding of machine learning. I’d love to hear about your experiences with the website in the comments!