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# CS229: Machine Learning
## Descriptions
- Offered by: Stanford
- Prerequisite requirements: Advanced Mathematics, Probability Theory, Python, Solid mathematics skills
- Programming Languages: None
- Difficulty:🌟🌟🌟🌟
- Class Hour: 100 hours
Another course offered by Andrew Ng, but this is a postgraduate course, so it focuses more on mathematical theory, if you are not satisfied with off-the-shelf, and want to understand the essence of the algorithm, or aspire to engage in theoretical research on machine learning, you can take this course. All the lecture notes are provided on the course website, which are professional and theoretical, and require a solid mathematics skills.
## Resources
- Course Website:<http://cs229.stanford.edu/syllabus.html>
- Recordings:<https://www.bilibili.com/video/BV1JE411w7Ub>
- Recordings: None, but the lecture notes is excellent.
- Assignments: Not open to the public
## Personal Resources
All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/CS229 - GitHub](https://github.com/PKUFlyingPig/CS229)