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python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
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用于weka中的多示例学习算法的集成库文件MILK，包含多个多示例学习算法-Integrated library file for weka in the multi-instance learning algorithms MILK, comprising a plurality of multi-instance learning algorithms
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在2006年9月召开的ICDM会议上，邀请了ACM KDD创新大奖(InnovationAward)和
Top 10 Algorithms in Data Mining
IEEEICDM研究贡献奖(Research Contributions Award)的获奖者们来参与数据挖掘10大算
法的选举，每人提名10种他认为最重要的算法-Classification，Statistical Learning，Top 10 Algorithms in Data Mining，material
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运用R语言进行数据挖掘算法设计与运算，能够提升R语言学习能力与数据挖掘算法应用能力-R language use data mining algorithm design and operation, it is possible to enhance the R language learning and data mining algorithms application capabilities
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该程序是用python编写一个K近邻算法，通过该例子可以掌握K近邻算法，是学习数据挖掘的一个高效的算法。-The program is written in python a K-nearest neighbor algorithm, this example can grasp the K-nearest neighbor algorithm, a learning data mining and efficient algorithms.
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week6 百度大数据实验室NG的机器学习教程，包括文档以及代码，有些基本的分类聚类的机器学习算法，对于初学者很有帮助-week6 Baidu large data laboratory NG machine learning tutorials, including documentation and code, some basic clustering classification machine learning algorithms, very helpful for beginne
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k-mediod、knn、uci数据集。
数据挖掘、机器学习中的经典聚类、分类算法(K-mediod, KNN, and UCI data sets.
Data mining and classical clustering and classification algorithms in machine learning)
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matlab智能算法，很适合学习的一本书，里面有相关的算法，稍后会上传对应的案例，很实用化(Matlab intelligent algorithm, very suitable for learning a book, there are related algorithms, later on the corresponding cases, very practical)
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机器学习与R语言（machine_learning）源代码下载，内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)
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实现主流机器学习算法，代码经过检验，都能跑的通。(Implementing Mainstream Machine Learning Algorithms)
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数据挖掘python语言的学习资料，包括常用算法的实现和工具的使用(Data Mining Pthon Language Learning Materials, including the Implementation of Common Algorithms and the Use of Tools)
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