A Machine Learning Handbook

A student-sourced Machine Learning Handbook for ICS5110. Instructions for submission:

1. Clone the repository
2. Edit the ics5110_ml_handbook.tex file
   • Find the TODO labels inside this file (3 instances), change/add your stuff accordingly
3. Add your term file and bibliography to the terms directory. This should have the form of term_initials.tex where term is your actual term and initials are your initials (e.g. overfitting_jpe.tex). Also add your bibliography (i.e. term_initials.bib) there.
4. Create a pull request (read here for more details)

Submit as early as possible as you are bound to get feedback on your work (no need to wait for the deadline, everyone is doing something different anyway).