1. Scikit-learn: Machine learning in Python, Pedregosa, Fabian and Varoquaux, Gaël and Gramfort, Alexandre and Michel, Vincent and Thirion, Bertrand and Grisel, Olivier and Blondel, Mathieu and Prettenhofer, Peter and Weiss, Ron and Dubourg, Vincent and others, The Journal of Machine Learning Research, 12, 2825–2830, 2011, JMLR. org
2. API design for machine learning software: experiences from the scikit-learn project, Buitinck, Lars and Louppe, Gilles and Blondel, Mathieu and Pedregosa, Fabian and Mueller, Andreas and Grisel, Olivier and Niculae, Vlad and Prettenhofer, Peter and Gramfort, Alexandre and Grobler, Jaques and others, arXiv preprint arXiv:1309.0238, 2013
3. Jones, Eric and Oliphant, Travis and Peterson, Pearu and others, SciPy: Open source scientific tools for Python, 2001–, http://www.scipy.org/, [Online; accessed 2016-05-04]
4. Feature hashing for large scale multitask learning
5. R Library Contrast Coding Systems for categorical variables, https://stats.idre.ucla.edu/r/library/r-library-contrast-coding-systems-for-categorical-variables/, IDRE Stats