Chun-Nam Yu, Piotr Mirowski, et al.
IEEE Transactions on Smart Grid
Machine learning is a popular topic in data analysis and modeling. Many different machine learning algorithms have been developed and implemented in a variety of programming languages over the past 20 years. In this article, we first provide an overview of machine learning and clarify its difference from statistical inference. Then, we review Scikit-learn, a machine learning package in the Python programming language that is widely used in data science. The Scikit-learn package includes implementations of a comprehensive list of machine learning methods under unified data and modeling procedure conventions, making it a convenient toolkit for educational and behavior statisticians.
Chun-Nam Yu, Piotr Mirowski, et al.
IEEE Transactions on Smart Grid
Neil Mallinar, Abhishek Shah, et al.
AAAI 2019
Ana C. Lorena, Luís P.F. Garcia, et al.
ACM Computing Surveys
Xiao Bai, Edwin R. Hancock, et al.
Pattern Recognition Letters