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Artificial Intelligence and Robotics Research 人工智能与机器人研究, 2017, 6(1), 16-21 Published Online February 2017 in Hans. /journal/airr /10.12677/airr.2017.61003 The Study of Machine Learning in Big Data Analysis Qi Hong, Gang Yang, Lishan Hui School of Mathematics and Computer Science, Shaanxi Sci-Tech University, Hanzhong Shaanxi th th th Received: Dec. 29 , 2016; accepted: Jan. 13 , 2017; published: Jan. 18 , 2017 Abstract Machine learning played a more and more important role in the analysis of large data. The main methods and techniques of machine learning under the background of large data were summa- rized. Firstly, the basic model and classification of machine learning were introduced. Then, sev- eral key technologies of machine learning in large data environment were described. And the ar- ticle showed the popular four kinds of big data machine learning systems, and analyzed their cha- racteristics. In the end, it pointed out the main research direction and the challenges of the big data machine learning. Keywords Big Data, Machine Learning, Semi-Supervised Learning, Machine Learning System in Big Data, Probabilistic Graph Model, R Language 大数据分析中机器学习研究 洪 歧，杨 刚，惠立山 陕西理工大学，数学与计算机科学学院，陕西 汉中 收稿日期：2016年12月29 日；录用日期：2017年1月13 日；发布日期：2017年1月18 日 摘 要 机器学习在大数据分析中起着越来越重要的作用，本文主要对大数据背景下机器学习方法和技术等进行 了归纳和总结。首先对机器学习的基本模型、分类进行简介；然后对大数据环境下的机器学习的几个关 键技术进行了叙述；接着展示了目前流行的四种大数据机器学习系统，并分析了其特点；最后指明了大 文章引用: 洪歧, 杨刚, 惠立山. 大数据分析中机器学习研究[J]. 人工智能与机器人研究, 2017, 6(1): 16-21. /10.12677/airr.2017.61003 洪歧 等 数据机器学习的主要研究方向和所遇到的挑战因素等。 关键词 大数据，机器学习，半监督学习，大数据机器学习系统，概率图模型，R语言 Copyright