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机器学习技术与实现——MATLAB大数据处理

卓金武, MathWorks
魏奋, MathWorks

将介绍如何用MATLAB来轻松实现机器学习中主流的分类(神经网络、Logistics、判别分析、最近邻方法、朴素贝叶斯、SVM、决策树、集成学习)和聚类K-means、层析聚类、神经网络、Fuzzy C-Means、高斯混合聚类)算法, 并可以通过比较,选择最适宜的算法。此外,还将介绍如何使用MATLAB并行计算技术来加速大数据的处理速度。

录制日期: 2013年10月29日

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