作者:Andrew Ng 页数:118 出版社:Stanford University |
编程练习1:线性回归机器学习介绍在这个练习中,你将实现线性回归并看到它对数据的作用。在开始这个编程练习之前,我们强烈建议您观看视频讲座并完成相关主题的复习题。要开始练习,您需要下载初学者代码并将其内容解压缩到您希望完成练习的目录中。如果需要,使用c
Programming Exercise 1: Linear Regression Machine Learning Introduction In this exercise, you will implement linear regression and get to see it work on data. Before starting on this programming exercise, we strongly recom- mend watching the video lectures and completing the review questions for the associated topics. To get started with the exercise, you will need to download the starter code and unzip its contents to the directory where you wish to complete the exercise. If needed, use the c
目录
编程练习1:线性回归。1
规划练习2:逻辑回归。16
编程练习3:多类分类和神经网络29
编程练习4:神经网络学习41
规划练习5:正则化线性回归和偏差v.s。
方差。56
编程练习6:支持向量机。70
编程练习7:K-均值聚类和主成分
分析86
编程练习8:异常检测和推荐系统