NG机器学习week9 Anomaly Detection
来源:互联网 发布:软件开发简历范文 编辑:程序博客网 时间:2024/05/01 16:53
答案:
Anomaly Detection
5 试题
For which of the following problems would anomaly detection be a suitable algorithm?
Given data from credit card transactions, classify each transaction according to type of purchase (for example: food, transportation, clothing).
From a large set of primary care patient records, identify individuals who might have unusual health conditions.
In a computer chip fabrication plant, identify microchips that might be defective.
From a large set of hospital patient records, predict which patients have a particular disease (say, the flu).
Suppose you have trained an anomaly detection system for fraud detection, and your system that flags anomalies when
Decrease
Increase
Suppose you are developing an anomaly detection system to catch manufacturing defects in airplane engines. You model uses
You have two features
Which of the following are true? Check all that apply.
If you have a large labeled training set with many positive examples and many negative examples, the anomaly detection algorithm will likely perform just as well as a supervised learning algorithm such as an SVM.
When choosing features for an anomaly detection system, it is a good idea to look for features that take on unusually large or small values for (mainly the) anomalous examples.
If you are developing an anomaly detection system, there is no way to make use of labeled data to improve your system.
If you do not have any labeled data (or if all your data has label
You have a 1-D dataset
Suppose you fit the gaussian distribution parameters
- Ng机器学习 Week9 Anomaly Detection
- NG机器学习week9 Anomaly Detection
- Stanford 机器学习笔记 Week9 Anomaly Detection
- Andrew Ng机器学习week9(Anomaly Detection and Recommender Systems)编程习题
- Andrew NG 机器学习 笔记-week9-异常检测和推荐系统(Anomaly Detection and Recommender Systems)
- 斯坦福NG机器学习课程:Anomaly Detection笔记
- 斯坦福机器学习视频笔记 Week9 异常检测和高斯混合模型 Anomaly Detection
- [Coursera机器学习]Anomaly Detection and Recommender Systems WEEK9编程作业
- Stanford 机器学习 Anomaly Detection
- Andrew NG 机器学习 练习8-Anomaly Detection and Recommender Systems
- Coursera机器学习-第九周-Anomaly Detection
- 机器学习week9(一)_anomaly detection
- NG机器学习week9 Recommender System
- anomaly detection ng recommender system
- 动手写机器学习算法:异常检测 Anomaly Detection
- Andrew Ng机器学习课程笔记--week9(上)
- Andrew Ng机器学习课程笔记--week9(下)
- Andrew Ng机器学习笔记week9 异常检测、推荐系统
- 回归算法之岭回归
- 仿UC头条首页-html+css+纯JS
- 数组---冒泡排序和选择排序
- JZOJ 5230. 【NOIP2017模拟A组模拟8.5】队伍统计
- Two Sum II
- NG机器学习week9 Anomaly Detection
- C++ vector(一)
- MFC编辑框
- 双彩虹是怎么回事?
- 利用sklearn包中的k-近邻算法进行分类
- QuickHit游戏
- duboo生产者的serviceImpl方法里如果改变了参数的属性值需要注意
- codeforces 837B Flag of Berland
- 2017年8月5日21:44:07