Scikit-learn: Machine Learning Without Learning the Machinery

@article{Varoquaux2015ScikitlearnML,
  title={Scikit-learn: Machine Learning Without Learning the Machinery},
  author={Ga{\"e}l Varoquaux and Lars Buitinck and Gilles Louppe and Olivier Grisel and Fabian Pedregosa and Andreas Mueller},
  journal={GetMobile},
  year={2015},
  volume={19},
  pages={29-33}
}
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… CONTINUE READING
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