Scikit-learn: Machine Learning Without Learning the Machinery

Machine learning is a pervasive development at the intersection of statistics and computer science. While it can benefit many data-related applications, the technical nature of the research literature and the corresponding algorithms slows down its adoption. Scikit-learn is an open-source software p...

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Veröffentlicht in:GetMobile (New York, N.Y.) N.Y.), 2015-06, Vol.19 (1), p.29-33
Hauptverfasser: Varoquaux, G., Buitinck, L., Louppe, G., Grisel, O., Pedregosa, F., Mueller, A.
Format: Artikel
Sprache:eng
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Zusammenfassung:Machine learning is a pervasive development at the intersection of statistics and computer science. While it can benefit many data-related applications, the technical nature of the research literature and the corresponding algorithms slows down its adoption. Scikit-learn is an open-source software project that aims at making machine learning accessible to all, whether it be in academia or in industry. It benefits from the general-purpose Python language, which is both broadly adopted in the scientific world, and supported by a thriving ecosystem of contributors. Here we give a quick introduction to scikit-learn as well as to machine-learning basics.
ISSN:2375-0529
2375-0537
DOI:10.1145/2786984.2786995