What it does
These are personal study notes for the Stanford Machine Learning course taught by Andrew Ng on Coursera. A learner wrote them in Chinese and also translated the course subtitles.
The course covers the basics: linear and logistic regression, neural networks, support vector machines, clustering, recommender systems and practical advice for applying machine learning. The repository includes the notes in Word, Markdown, HTML and PDF form, the original slides, Chinese-English subtitles and Python code for the exercises.
Who it's for
Chinese-speaking students starting out in machine learning.
Can I use it without coding?
Yes. Read the notes online or download the PDF. New to this? Start here.
Can I run it?
- Cost
- FreeNothing to pay or sign up for.
- Computer
- An ordinary computer is fine
- API key
- Not needed
Try it
- Read the Chinese notes online, or download the PDF, Word or Markdown versions from the repository.
- Follow the chapters week by week alongside the course videos.
Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?
Before you install
- Only download from the official GitHub page. Copies with similar names exist for many popular projects.
- No standard license listed. Check the GitHub page before using it for business.
- More on staying safe