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What can Data-Centric AI Learn from Data and ML Engineering?
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What can Data-Centric AI Learn from Data and ML Engineering? (2021)What can Data-Centric AI Learn from Data …From Concept to Implementation: The Data-Centric Development Process for AI in Industry (2023)From Concept to Implementatio…Data-Centric AI to Improve Churn Prediction with Synthetic Data (2023)Data-Centric AI to Improve Ch…The Principles of Data-Centric AI (DCAI) (2022)The Principles of Data-Centri…Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability (2002)Ghost Work: How to Stop Silicon Valley from Building a New Global Underclass (2019)“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021)synthpop : Bespoke Creation of Synthetic Data in R (2016)Churn Prediction using Ensemble Learning (2020)A survey on machine learning methods for churn prediction (2022)A Survey on the Use of Synthetic Data for Enhancing Key Aspects of Trustworthy AI in the Energy Domain: Challenges and Opportunities (2024)Machine Learning With Big Data: Challenges and Approaches (2017)The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms (2017)On the Opportunities and Risks of Foundation Models (2021)
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  • 2023From Concept to Implementation: The Data-Centric Development Process for AI in Industry26 cited
  • 2022The Principles of Data-Centric AI (DCAI)26 cited
  • 2023Data-Centric AI to Improve Churn Prediction with Synthetic Data8 cited

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