Scikitlearn
Published:
Scikitlearn (formerly scikits.learn) is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms including support vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. Personally I think it is one of the most complete machine learning toolkits in the open source community. It wrappers different high-efficient C coded algorithms and allow the user build easy and quick prototypes and performing easy parallelization.
See also
Artificial Intelligence, Machine learning, Python
Material
- http://scikit-learn.org/stable/
- https://github.com/scikit-learn/scikit-learn
Papers
- Pedregosa, Fabian, et al. Scikit-learn: Machine learning in Python. The Journal of Machine Learning Research 12 (2011): 2825-2830.