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ECS 189G, Spring 2023: a Course on (Social) Fairness of Machine Learning Algorithms

Computing Resources

R programming language

  • The homework, quizzes and term project will all be done in R.

  • All students in the class either have some background in R, or have enough programming background to quickly learn what will be needed on their own. Everyone, please read fasteR, Lessons 1-12. It's designed for non-tech people, so you should be able quickly breeze through it.

    Our TA will go over some fair ML datasets with R in the discussion section, Week 1, but of course that is not nearly enough. Please read the tutorial. Even if you know R, you may find that you learn something new and useful.

  • All code that you submit, either for homework or in quizzes, will be executed by whoever grades it (the TA or myself). Do not make use of R packages that are not included in base-R, as they may not be on the grader's machine.

    In particular, do not use the Tidyverse. I am not a fan of it anyway--it was developed as a way to make R easier for noncoders, and I believe it actually makes it harder for them--but in any case, I may not have a current version of the Tidyverse on the machine I'm using for grading.

    Similarly, the homework and quizzes will ask you to submit .R files. Do so, e.g. not .RData etc.

    Of course, how you create your R code is up to you. You could use RStudio or the more CS-ish VS Code, or just use an ordinary text editor like me. I use Vim for everything, with my own home-grown Vim macros, including one for R.

R packages

We will use various R packages that focus on fair ML (which WILL be on the graders' machines), such as (we will not use them all):

We will use the ML functions in qeML.

Use of R in Linear Algebra

Linear algebra is not a prerequisite for this class, but we will make occasional light use of it. I believe all or almost all of you have had a course in it, but (a) one or two may not have and (b) you may not have seen it in R. I have a tutoral on matrix algebra too; please read it.