ma2823_2016

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.

Running the Jupyter notebooks

Follow instructions at https://jupyter-notebook-beginner-guide.readthedocs.io/en/latest/index.html

Instructions for scribes

• 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/
• 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.