Automating Data Science: Prospects and Challenges

Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K I Williams

Research output: Contribution to journalArticlepeer-review

Abstract

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.
Original languageEnglish
Number of pages19
JournalCommunications of the ACM
Publication statusAccepted/In press - 25 Apr 2021

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