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Title: GitHub - reicalg/MachineLearningCourse: 机器学习精简入门教程

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Description: 机器学习精简入门教程. Contribute to reicalg/MachineLearningCourse development by creating an account on GitHub.

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https://patch-diff.githubusercontent.com/reicalg/MachineLearningCourse#机器学习精简入门教程
机器学习教程 一-不懂这些线性代数知识 别说你是搞机器学习的http://www.shareditor.com/blogshow/?blogId=1
机器学习教程 二-安装octave绘制3D函数图像http://www.shareditor.com/blogshow/?blogId=28
机器学习教程 三-用scikit-learn求解一元线性回归问题http://www.shareditor.com/blogshow/?blogId=53
机器学习教程 四-用scikit-learn求解多元线性回归问题http://www.shareditor.com/blogshow/?blogId=54
机器学习教程 五-用matplotlib绘制精美的图表http://www.shareditor.com/blogshow/?blogId=55
机器学习教程 六-用scikit-learn求解多项式回归问题http://www.shareditor.com/blogshow/?blogId=56
机器学习教程 七-用随机梯度下降法(SGD)做线性拟合http://www.shareditor.com/blogshow/?blogId=57
机器学习教程 八-用scikit-learn做特征提取http://www.shareditor.com/blogshow/?blogId=58
机器学习教程 九-二元分类效果的评估方法http://www.shareditor.com/blogshow/?blogId=59
机器学习教程 十-用scikit-learn的网格搜索快速找到最优模型参数http://www.shareditor.com/blogshow/?blogId=60
机器学习教程 十一-用scikit-learn做聚类分析http://www.shareditor.com/blogshow/?blogId=61
机器学习教程 十二-神经网络模型的原理http://www.shareditor.com/blogshow/?blogId=91
机器学习教程 十三-用scikit-learn做逻辑回归http://www.shareditor.com/blogshow/?blogId=93
机器学习教程 十四-利用tensorflow做手写数字识别http://www.shareditor.com/blogshow/?blogId=94
机器学习教程 十五-细解卷积神经网络http://www.shareditor.com/blogshow/?blogId=95
机器学习教程 十六-深究熵的概念和公式以及最大熵原理http://www.shareditor.com/blogshow/?blogId=98
机器学习教程 十七-逻辑回归公式的数学推导http://www.shareditor.com/blogshow/?blogId=102
机器学习教程 十八-R语言特征工程实战http://www.shareditor.com/blogshow/?blogId=106
机器学习教程 十九-看数据科学家是如何找回丢失的数据的（一）http://www.shareditor.com/blogshow/?blogId=107
机器学习教程 二十-看数据科学家是如何找回丢失的数据的（二）http://www.shareditor.com/blogshow/?blogId=108
机器学习教程 二十一-R语言炫技必备基本功http://www.shareditor.com/blogshow/?blogId=109
机器学习教程 二十二-一小时掌握R语言数据可视化http://www.shareditor.com/blogshow/?blogId=110
机器学习教程 二十三-R语言强大工具包ggplot绘图以外的那些事http://www.shareditor.com/blogshow/?blogId=111
机器学习教程 二十四-[吐血整理]涉及面最广的机器学习资料大全http://www.shareditor.com/blogshow/?blogId=123
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