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Support Vector Machine is small sample method based on statistic learning theory. It is a new method to deal with the highly nonlinear classification and regression problems .It can better deal with the small sample, nonlinear and
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数据驱动的统计学习方法，包括PLS、PCA、ICA等，可方便进行故障诊断研究-Data-driven statistical learning methods, including PLS, PCA, ICA, can do researching on fault diagnosis
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matlab在数理统计中的应用，对学习matlab及数理统计人员均有很好的帮助-matlab in the application of mathematical statistics, matlab learning and statistics to help people have a very good
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machine learning and statistic必看书籍-machine learning and statistic
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致富不用愁软件，用来进行彩票的走势预测，有很多统计功能，很实用，也是股票
、彩票类软件的学习好材料-Rich do not have to worry about software, used for lottery trend forecasting, a lot of statistic function, very practical, but also stock
Lottery software, learning materials
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一篇机器学习综述，总结了当前机器学习研究的几个方向，并以统计机器学习为重点梳理了几个核心原则。-A document about Machine Learning, focus on Statistic Learning, including four important principle.
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本书讲述了统计学习的基本方法，适合统计学习的初学者(Statistical learning)
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《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法，特别是监督学习方法，包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。(The statistical learning method is an important subject in the field of computer and its application.)
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