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此链接https://www.desmos.com/calculator/bgontvxotm
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#基于最优化方法的回归系数确定
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https://github.com/normalC/MachineLearning/blob/dev/images/5.Logistic/LR_4.png
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#梯度上升法
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#梯度的介绍
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#梯度上升法的思想
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https://github.com/normalC/MachineLearning/blob/dev/images/5.Logistic/LR_10.png
https://github.com/normalC/MachineLearning/blob/dev/images/5.Logistic/LR_20.png
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#logistic-回归-原理
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#logistic-回归-工作原理
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#logistic-回归-开发流程
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https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#附加-方向导数与梯度
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https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#logistic-回归-项目案例
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#项目案例1-使用-logistic-回归在简单数据集上的分类
完整代码地址https://github.com/normalC/MachineLearning/blob/dev/src/python/5.Logistic/logistic.py
https://github.com/apachecn/MachineLearning/blob/master/src/py2.x/ML/5.Logistic/logistic.pyhttps://github.com/apachecn/MachineLearning/blob/master/src/py2.x/ML/5.Logistic/logistic.py
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#项目概述
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#开发流程
https://github.com/normalC/MachineLearning/blob/dev/images/5.Logistic/LR_11.png
https://github.com/normalC/MachineLearning/blob/dev/images/5.Logistic/LR_21.png
http://blog.csdn.net/achuo/article/details/51160101http://blog.csdn.net/achuo/article/details/51160101
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#注意
https://github.com/normalC/MachineLearning/blob/dev/images/5.Logistic/LR_12.png
https://github.com/normalC/MachineLearning/blob/dev/images/5.Logistic/LR_13.png
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#项目案例2-从疝气病症预测病马的死亡率
完整代码地址https://github.com/normalC/MachineLearning/blob/dev/src/python/5.Logistic/logistic.py
https://github.com/apachecn/MachineLearning/blob/master/src/py2.x/ML/5.Logistic/logistic.pyhttps://github.com/apachecn/MachineLearning/blob/master/src/py2.x/ML/5.Logistic/logistic.py
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#项目概述-1
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#开发流程-1
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#额外内容可选读
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#logistic回归-和-最大熵模型
https://github.com/normalC/MachineLearning/blob/dev/docs/5.Logistic回归.md#其他算法
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