Data Is Plural Data Visualizations
Data visualizations based on public datasets referenced in the Data Is Plural Newsletter by Jeremy Singer-Vine
A list of small data science and coding projects, TILs (Today I Learned), and ongoing research projects, alongside links to supplementary resources (e.g., code, models, online appendices, etc.).
Data visualizations based on public datasets referenced in the Data Is Plural Newsletter by Jeremy Singer-Vine
Search prototype based on weaviate
that enables semantic and literal search over earnings conference call sentences.
The Central Theme of my dissertation entitled “Machine Learning Applications in Accounting”
Collection of custom prodigy
recipes for various text labeling tasks. I used these recipes across different research projects to annotate training data or iteratively devise regex patterns.
Some selective evidence on AI transparency through analyses of the extent and depth of model card disclosures on the Hugging Face Hub, providing insights into the state of reporting practices in the field.