Summary
David Cournapeau is a data scientist. He is the original author of the scikit-learn package, an open source machine learning library in the Python programming language.[1][2]
Early life and education edit
Cournapeau graduated with a MSc in Electrical Engineering from Telecom Paristech, Paris in 2004, and obtained his PhD in Computer Science at Kyoto University, Japan, in the domain of speech recognition.[3]
Career edit
The scikit-learn project started as scikits.learn, a Google Summer of Code project by David Cournapeau. After having worked for Silveregg, a SaaS Japanese company delivering recommendation systems for Japanese online retailers,[3] he worked for 6 years at Enthought, a scientific consulting company. He joined Cogent Labs, a Japanese Deep Learning/AI company, in 2017.[4] He is a Machine Learning Engineering Manager at Mercari, Inc.[5]
Cournapeau has also been involved in the development of other central numerical Python libraries: NumPy and SciPy.[6][7]
References edit
- ^ "David Cournapeau - Google Scholar". scholar.google.co.in. Retrieved 2016-01-13.
- ^ Fabian Pedregosa; Gaël Varoquaux; Alexandre Gramfort; Vincent Michel; Bertrand Thirion; Olivier Grisel; Mathieu Blondel; Peter Prettenhofer; Ron Weiss; Vincent Dubourg; Jake Vanderplas; Alexandre Passos; David Cournapeau (2011). "Scikit-learn: Machine Learning in Python". Journal of Machine Learning Research. 12: 2825–2830. arXiv:1201.0490. Bibcode:2011JMLR...12.2825P.
- ^ a b "Developers team: Enthought Scientific Computing Solutions". www.enthought.com. Archived from the original on 2016-03-11. Retrieved 2016-01-13.
- ^ "Research team: Cogent Labs". www.cogent.co.jp. 9 August 2018. Retrieved 2019-01-18.
- ^ https://www.linkedin.com/in/cournapeau-david-76782410/.
{{cite web}}: Missing or empty|title=(help) - ^ Charles R Harris; K. Jarrod Millman; Stéfan J. van der Walt; et al. (16 September 2020). "Array programming with NumPy" (PDF). Nature. 585 (7825): 357–362. arXiv:2006.10256. doi:10.1038/S41586-020-2649-2. ISSN 1476-4687. PMC 7759461. PMID 32939066. Wikidata Q99413970.
- ^ Pauli Virtanen; Ralf Gommers; Travis E. Oliphant; et al. (3 February 2020). "SciPy 1.0: fundamental algorithms for scientific computing in Python" (PDF). Nature Methods. 17 (3): 261–272. doi:10.1038/S41592-019-0686-2. ISSN 1548-7091. PMC 7056644. PMID 32015543. Wikidata Q84573952.
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