MML Study

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

Easily learn from GitHub Pages with high-quality content.

Go to Project Page!

Group Member

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	Junghun Kim	Sangeun Park
WonJoon Choi	ChanHee Kang	Ian Na	Lim SuHyeong	Kim Juwon	Kim YoonJong
JuYoung Suk	Wonhyeong Seo

Contributing

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

Feel free to contribute with high-quality contents!

Requirements

(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

Installation

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

Submitting code changes:

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!😆

Progress of Studying

Progress	Contents	Assigned to	Update Date	Status
Chapter 2.1 - 2.5	Linear Algebra (선형대수)	Seongjun Jang(장성준)	2022-07-10	✔️
Chapter 2.6 - 2.9	Linear Algebra (선형대수)	Woojung Han(한우정) Sangeun Park(박상은) Junghun Kim(김정훈)	2022-07-17	♻️
Chapter 3.1 - 3.10	Analytic Geometry (해석기하학)	Lim SuHyeong(임수형) Wonhyeong Seo(서원형) JuYoung Suk(석주영)	2022-07-17	♻️
Chapter 4.1 - 4.8	Matrix Decompositions (행렬분해)	Wonhyeong Seo(서원형) Ian Na(나경훈)	2022-07-24	♻️
Chapter 5.1 - 5.9	Vector Calculus (벡터 미적분학)		2022-07-31	❌
Chapter 6.1 - 6.8	Probability and Distributions (확률과 분포)		2022-08-07	❌
Chapter 7.1 - 7.4	Continuous Optimizations (연속 최적화)		2022-08-14	❌
Chapter 8.1 - 8.6	When Models Meet Datas (모델과 데이터)		2022-08-14	❌
Chapter 9.1 - 9.5	Linear Regression (선형회귀)		2022-08-21	❌
Chapter 10.1 - 10.8	Dimensionality Reduction with Principal Component Analysis (차원 축소 w/ PCA)		2022-08-21	❌
Chapter 11.1 - 11.5	Density Estimation with Gaussian Mixture Models (밀도 추정)		2022-08-28	❌
Chapter 12.1 - 12.6	Classification with Support Vector Machines (분류 w/ SVM)		2022-08-28	❌

License

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