As someone learning data science and searching for jobs, I often find myself needing quick revision resources. However, I struggle with the complexity and excessive technical jargon of many available explanations and resources. Also, I have a habit of taking notes to reinforce my understanding, but sometimes my scribbles end up in a cryptic alien language that even I struggle to decipher.
In essence, I need a simple and concise revision guide that allows me to write things down for better retention. This is why I decided to create a reference guide that simplifies the world of data science, making it easily understandable for myself and hopefully for others as well.
I love Google Research's Tuning Playbook and Bert README markdowns. While they have a lot of content available, the material can be easily covered in a short amount of time. In general, Github README's are simple, clear, and easy to update, and maintain with a straightforward layout.