Second, in machine learning it’s really generalization error that we care about, but most learning algorithms fit their models to the training set. Why should doing well on the training set tell us anything about generalization error? Specifically, can we relate error on the training set to g...
课程机器学习斯坦福andrew ng教授cs229 lecture10.pdf,MachineLearning-Lecture10 Instructor (Andrew Ng):So just a couple of quick announcements. One is, first, thanks again, for all of your Problem Set 1 submissions. They’ve all been graded, and we’ll retu
斯坦福大学机器学习课程cs229原始讲义 这是斯坦福大学机器学习课程cs229原始讲义,Andrew Ng教授主讲。该讲义是PDF格式。涵盖了机器学习的主要算法:线性回归、logistic回归、一般回归、k-means、SVM、EM等。 上传者:qiaobot时间:2017-09-16 哈佛CS229R 大数据算法讲义 ...
Coursera Machine Learning By Prof. Andrew Ng. Contribute to vkosuri/CourseraMachineLearning development by creating an account on GitHub.