Andrew Ng机器学习课程笔记
该系列笔记基于吴恩达在Coursera上的机器学习课程总结的,如果上不了Coursera,也可以去B站学习
Andrew Ng机器学习课程笔记–week1(机器学习介绍及线性回归)Andrew Ng机器学习课程笔记–week2(多元线性回归&正规公式)Andrew Ng机器学习课程笔记–week3(逻辑回归&正则化参数)Andrew Ng机器学习课程笔记–week4(神经网络)Andrew Ng机器学习课程笔记–week5(上)(神经网络损失函数&反向传播算法)Andrew Ng机器学习课程笔记–week5(下)(梯度检测&BP随机初始化)Andrew Ng机器学习课程笔记–week6(精度&召回率)Andrew Ng机器学习课程笔记–week7(SVM)Andrew Ng机器学习课程笔记–week8(K-means&PCA)Andrew Ng机器学习课程笔记–week9(上)(异常检测&推荐系统)marsggbo:Andrew Ng机器学习课程笔记–week9(下)(推荐系统&协同过滤)marsggbo:Andrew Ng机器学习课程笔记–week10(优化梯度下降)marsggbo:Andrew Ng机器学习课程笔记–week11(图像识别&总结划重点)
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