Skip to content

Visual explanation of the basics of machine learning. Submission for Grant Sanderson's Summer of Math Exposition 2021.

License

Notifications You must be signed in to change notification settings

ecuber/mathexpo

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

52 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

License: MIT JavaScript Style Guide Netlify Status

Beautiful Data Science

This repository contains my submission for Grant Sanderson's Summer of Math Exposition, 2021. The website hosts an article that introduces the mathematical basis for machine learning and neural networks through interactive math graphics called "mathlets".

The site is hosted at http://beautifuldatascience.com.

Technologies Used

Repository Anatomy

  • /client/ - contains the create-react-app setup; client side code that renders the website.
  • /dev-server/ - contains the Node.js web server that runs in parallel with the CRA dev server while creating new Math3D graphs. This allows the Math3D scenes to be saved to a JSON file, forgoing the need for a database.

Hey, this is neat. I want to make one!

If you'd like to make a math blog like this one, you can clone the repository and look at the GUIDE.md for more information on the components and getting started.

License

This project is distrubuted under the MIT License.

About

Visual explanation of the basics of machine learning. Submission for Grant Sanderson's Summer of Math Exposition 2021.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published