摘要
机器学习是一门多学科的综合性研究,它既是基于模式识别和人工智能的一类计算机科学分支,也是人工智能的一种极其重要的研究方向。文章从机器学习经典算法、新型算法及其应用三个方面进行介绍。首先阐述了6种最常见的机器学习方法,及其机器学习算法的数据并行、聚类、分治3个主要方式;然后,在机器学习经典方法的基础上介绍了结合各专业领域的量子机器学习方法以及李群机器学习;最后,阐述了机器学习方法在各领域中的实际应用,并对机器学习未来的发展趋势做出了分析总结。
Machine learning is a multidisciplinary and comprehensive research field that is not only a branch of computer science based on pattern recognition and artificial intelligence,but also an extremely important research direction in artificial intelligence.The article introduces classic machine learning algorithms,new algorithms,and their applications from three aspects.Firstly,it elaborates on the six most common machine learning methods and their three main methods of data parallelism,clustering,and divide and conquer in machine learning algorithms;Then,on the basis of classical machine learning methods,quantum machine learning methods and Lie group machine learning that combine various professional fields were introduced;Finally,the practical applications of machine learning methods in various fields were elaborated,and the future development trends of machine learning were analyzed and summarized.
作者
田世杰
张一名
TIAN Shijie;ZHANG Yiming(Shanxi Forestry Vocational and Technical College,Taiyuan Shanxi 030009)
出处
《软件》
2023年第7期70-75,共6页
Software
关键词
机器学习
人工智能
量子机器学习
李群机器学习
machine learning
artificial intelligence
quantum machine learning
Lie group machine learning
