Mitigating Bias in Machine Learning
All materials relating to the online book Mitigating Bias in Machine Learning can be found here. If you would like a PDF version, please get in touch.
1. Code
1.1 Analysis
- Tables and figures contained in the book are produced using the code in the folder code.
- The Jupyter Notebook relating to fairness metrics in AIF360 utilises the code in my fork of AIF360.
1.2 tex2html
Mitigating Bias in Machine Learning is written in LaTeX.
- The tex files are converted to html for the online book using pandoc and some post-processing in python.
- The code to convert the book and update the website is all in tex2html.
2. License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.