AI Educational Materials

This repository contains Lecture Notes regarding artificial intelligence course.

How to Contribute

Right now we only accept educational notebooks, if you want to submit your notebook, do as follows:

First fork this repository!
Create a new folder in notebooks/ (please follow lower-cased underline seperated naming convention for your folder).
Create your notebook inside your newly created folder and name it index.md. Make sure that all the necessary files (images and other potential assets) are all located inside this folder. Make sure that all your assets are referenced relative from your notebook.

Create matadata.yml inside your notebook and fill in these informations:

title: <change this> # shown on browser tab

header:
    title: <change this> # title of your notebook
    description: <change this> # short description of your notebook

authors:
    label: 
        position: top
    content:
    # list of notebook authors
    - name: <change this> # name of author
      role: Author # change this if you want
      contact:
      # list of contact information
      - link: https://github.com/<your_github_username>
        icon: fab fa-github
      # optionally add other contact information like  
      # - link: <change this> # contact link
      #   icon: <change this> # awsomefont tag for link (check: https://fontawesome.com/v5.15/icons)

comments:
    # enable comments for your post
    label: false
    kind: comments

You can look at the already merged notebooks to find example metadata and folder structures. To learn more about further customizations please consult the Webifier documentations.

Add your notebook directory name to the list of notebooks in notebooks/index.yml
After making sure that you've done everything correctly, proceed to open a pull request with your notebook directory name as the subject.

License

MIT License, see notes/LICENSE.

aboots/Markov-Decision-Processes-Lecture-Note-

AI Educational Materials

How to Contribute

License