Responsible Data Science
Responsible Data Science is a technical course that tackles issues of ethics, legal compliance, data quality, algorithmic fairness and diversity, transparency of data and algorithms, privacy, and data protection.
A collection of software and educational resources that I’ve contributed to and created.
Responsible Data Science is a technical course that tackles issues of ethics, legal compliance, data quality, algorithmic fairness and diversity, transparency of data and algorithms, privacy, and data protection.
Folk is an R package that provides easy access to datasets that can be used to benchmark machine learning algorithms. The goal of Folk is to facilitate and encourage work on fair machine learning among R users.