The tidyverse is an integrated collection of R packages designed to make data science fast, fluid, and fun.
Traffic Rank
77018Social Rank
0Social Change
0Core values
- **Addressing Inequities**: The project aims to assess and critique the fairness of machine learning models, which is crucial in addressing and mitigating the inequities and biases that these models can introduce into various societal contexts[1].
- **Social Implications**: By providing tools to understand the social implications of machine learning models, the project helps in ensuring that these models do not perpetuate or exacerbate existing social inequalities[1].
- **Promoting Fairness**: The focus on fairness metrics and sociotechnical critique ensures that the models are fair and do not disproportionately impact certain groups, which is essential for promoting social justice and equality[1].
Recent Feed
Get more insights about
Detailed statistics and comparisons.
Website
https://www.tidyverse.org/
X
https://www.x.com/hashtag/
Traffic Rank
| 77039 | pih.org |