Machine Learning - XV. Anomaly Detection异常检测(Week 9)

http://blog.csdn.net/pipisorry/article/details/44783647

机器学习Machine Learning - Andrew NG courses学习笔记

Anomaly Detection异常检测

Problem Motivation问题的动机

Anomaly detection example

Applycation of anomaly detection

Note:for
Frauddetection: users behavior examples of features of a users activity may be on the website it‘d be things like,maybe x1 is how often does this user log in, x2,the number of what pages visited, or the number of transactions, maybe
x3 is the number of posts of the users on the forum, feature x4 could be the typing speed of the user.And so you can model p of x based on this sort of data.

Gaussian Distribution高斯分布

Algorithm算法

Developing and Evaluating an Anomaly Detection System开发和评价异常检测系统

Anomaly Detection vs. Supervised Learning异常检测vs.监督学习

Choosing What Features to Use选择使用哪些features

Multivariate Gaussian Distribution (Optional)多变量的高斯分布

Anomaly Detection using the Multivariate Gaussian Distribution (Optional)用多变量的高斯分布进行异常检测

from:http://blog.csdn.net/pipisorry/article/details/44783647