21 citations · 21 across the 1 of their papers we have counts for
2 papers
cs.LG2021★ 21 cited
Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets
Nitin Gupta, Hima Patel, Shazia Afzal +10
The quality of training data has a huge impact on the efficiency, accuracy and complexity of machine learning tasks. Various tools and techniques are available that assess data qua…
cs.DB2020
Data Readiness Report
Shazia Afzal, Rajmohan C, Manish Kesarwani +2
Data exploration and quality analysis is an important yet tedious process in the AI pipeline. Current practices of data cleaning and data readiness assessment for machine learning…