Python(编程语言)
计算机科学
人工智能
实施
机器学习
程序设计语言
统计推断
多样性(控制论)
自然语言处理
软件工程
数学
统计
作者
Jiangang Hao,Tin Kam Ho
标识
DOI:10.3102/1076998619832248
摘要
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.
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