> For the complete documentation index, see [llms.txt](https://irosyadi.gitbook.io/irosyadi/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://irosyadi.gitbook.io/irosyadi/machine-learning/machine-learning-course.md).

# Machine Learning Course

## Machine Learning Course

* [StanfordVL/cs131\_notes: Class notes for CS 131.](https://github.com/StanfordVL/cs131_notes)
* [Machine Learning Crash Course Google Developers](https://developers.google.com/machine-learning/crash-course)

## Course

* [All Courses lynda.com](https://www.lynda.com/allcourses)
* [parrt/msds621: Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning](https://github.com/parrt/msds621) Introduction to Machine LEarning

## Machine Learning Course

* [Harvard CS109A - Syllabus](https://harvard-iacs.github.io/2021-CS109A/pages/syllabus.html)
* [Harvard CS109A - CS109a: Introduction to Data Science](https://harvard-iacs.github.io/2021-CS109A/)
* [2021-CS109A/content at master · Harvard-IACS/2021-CS109A](https://github.com/Harvard-IACS/2021-CS109A/tree/master/content)
* [CS50's Introduction to Artificial Intelligence with Python](https://cs50.harvard.edu/ai/2023/)