A collection of contents studied about "Mathematics for Machine Learning".

Easily learn from GitHub Pages with high-quality content.

All of them participated in this study with high-quality content!

Thanks goes to these wonderful people :

Seongjun Jang	Woojung Han	Jihyun Bae	Eunbi Park

Bug reports and pull requests are welcome on GitHub at https://github.com/junnei/mml.

Feel free to contribute with high-quality contents!

(If Docker you don't need to install all, just run it and Open your browser at http://localhost:4000/mml/kr)

$ docker-compose up

First, we need to install ruby (v2.7.3 in my case) [Home page]

If Windows OS, Download RubyInstaller

## Linux
$ sudo apt install ruby ruby-dev build-essential

## MacOS
$ brew install ruby

And then install jekyll :

$ gem install bundler:2.1.4 jekyll

First, fork this repository and clone to your local machine.

$ git clone https://github.com/[YOUR_GITHUB_ID]/mml
$ cd mml

Install gem dependencies by :

$ bundle install
## if bundler version error, 'bundle _2.1.4_ install'

If Ruby >= 3.0.0, before install gem dependencies :

$ bundle add webrick
## if bundler version error, 'bundle _2.1.4_ add webrick'

You should preview the site contents before contributing, so just run it by:

$ bundle exec jekyll serve

This starts a Jekyll server, and now you could test whatever you added.

Open your browser at http://localhost:4000/mml/kr

Add your information in _data/writers.yml.

#ex)
junnei:
  kr:
    name: 장성준
  en:
    name: Seongjun Jang
[YOUR_GITHUB_ID]:
  kr:
    name: [YOUR_NAME/KR](홍길동)
  en:
    name: [YOUR_NAME/EN](John Doe)

• Open a Pull Request
• Await code review
• Ta-da! You've become a contributor!😆

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.