Automating Data Science: Prospects and Challenges

Automating Data Science: Prospects and Challenges (accepted by the Communications of the ACM) arXiv paper abstract https://arxiv.org/abs/2105.05699v1 arXiv PDF paper https://arxiv.org/pdf/2105.05699v1.pdf Given the complexity of typical data science projects and the associated demand for human expertise, automation has the potential to transform the data science process. Key insights: * Automation in data science aims to facilitate and transform the work of data scientists, not to replace them.