Foundations of Machine Learning course at CentraleSupelec (Fall 2016)
Instructor: Chloé-Agathe Azencott
Course website: http://tinyurl.com/ma2823-2016
Contents:
- Lecture notes (contributed by students) in
lectures_notes - Lab Jupyter notebooks in
lab_noteboooks.
Follow instructions at https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html
- 2-4 students work together on creating the lecture notes for one given chapter. Discuss among yourselves how you want to share the work.
- Sign up before the beginning of the lecture on the dedicated Framadate
- Fork the git repository -- see https://help.github.com/articles/fork-a-repo/
- Make your changes to the LaTeX file for the chapter you're in charge of.
- Compile the PDF.
- When the chapter is ready, make a pull request -- see https://help.github.com/articles/using-pull-requests/
- For more detailed instructions on how to do the above steps, see http://cazencott.info/dotclear/public/lectures/ma2823_2016/lecture-notes-git-instructions.pdf
- You might want to use Overleaf, a collaborative LaTeX editing platform, which also facilitates compiling and real-time previews.
- Follow the example given for Chapter 2.