Further reading
The following bullets provide you with some additional reading that you may find useful for understanding the materials in this chapter in greater depth:
- Read additional details about keeping PII out of your dataset: Data publication: Removing identifiers from data (https://libguides.library.usyd.edu.au/datapublication/desensitise-data)
- Understand the need for dimensionality reduction: Machine learning: What is dimensionality reduction? (https://bdtechtalks.com/2021/05/13/machine-learning-dimensionality-reduction/)
- Locate a dataset that’s safe to use for your next experiment: 10 Great Places to Find Free Datasets for Your Next Project (https://careerfoundry.com/en/blog/data-analytics/where-to-find-free-datasets/)
- Gain more insights into why machine learning applications are unlikely to be fair anytime in the near future: Can Machine Learning Ever Be “Fair” — and What Does That Even Mean? (https://towardsdatascience.com...
