OpenML
Eindhoven University of Technology · Leiden University · +2 more institutions
Indexed inarxivcrossref
Abstract
Many sciences have made significant breakthroughs by adopting online tools that help organize, structure and mine information that is too detailed to be printed in journals. In this paper, we introduce OpenML, a place for machine learning researchers to share and organize data in fine detail, so that they can work more effectively, be more visible, and collaborate with others to tackle harder problems. We discuss how OpenML relates to other examples of networked science and what benefits it brings for machine learning research, individual scientists, as well as students and practitioners.
Citation impact
1,096
total citations
- FWCI
- 23.73
- Percentile
- 100%
- References
- 62
Citations per year
Authors
4Topics & keywords
Topics
Keywords
- Computer science
- Data science
- Work (physics)
- World Wide Web
No related works found for this paper.