Where μi is the average of all the values for feature (i) and si is the range of values (max - min), or si is the standard deviation.
Choose appropriate learning rate
Machine Learning Week10 : Large Scale Machine Learning La...
Machine Learning－Week 2 Linear regression - with one vari...
Machine Learning - Week 8 : Unsupervised Learning&Dimensi...
Machine Learning Week9 : Anomaly Detection & Recommender ...
Machine Learning Week11 : Photo OCR Application Example :...
Machine Learning by Andrew Ng Week 1 - Introduction Super...
17/11/01 MWhite's learning notes Multiple Features Gradie...
Machine Learning in a Week 机器学习一周入门实践 Getting into machin...
Week 2 | V. Octave Tutorial Question 1 Suppose I first e...
这次引入的是一个更为有效的线性回归形式，这种形式适用于多个变量或者多特征量的情况。用n来表示特征量的数量。如下所示...
本文标题：Machine Learning Week 2
本文链接：https://www.haomeiwen.com/subject/brunpxtx.html
网友评论