http://blog.csdn.net/pipisorry/article/details/44783647 机器学习Machine Learning - Andrew NG courses学习笔记 Anomaly Detection异常检測 Problem Motivation问题的动机 Anomaly detection example Applycation of anomaly detection Note:for Frauddetection: users behavior exam…

自Andrew Ng的machine learning课程. 目录: Problem Motivation Gaussian Distribution Algorithm Developing and Evaluating an Anomaly Detection System Anomaly Detection vs. Supervised Learning Choosing What Features to Use Multivariate Gaussian Distribution Ano…

Problems[show] Classification Clustering Regression Anomaly detection Association rules Reinforcement learning Structured prediction Feature engineering Feature learning Online learning Semi-supervised learning Unsupervised learning Learning to rank…

https://www.quora.com/How-do-I-learn-machine-learning-1?redirected_qid=6578644   How Can I Learn X? Learning Machine Learning Learning About Computer Science Educational Resources Advice Artificial Intelligence How-to Question Learning New Things Lea…

Machine Learning for Developers Most developers these days have heard of machine learning, but when trying to find an 'easy' way into this technique, most people find themselves getting scared off by the abstractness of the concept of Machine Learnin…

100 Most Popular Machine Learning Video Talks 26971 views, 1:00:45,  Gaussian Process Basics, David MacKay, 8 comments 7799 views, 3:08:32, Introduction to Machine Learning, Iain Murray 16092 views, 1:28:05, Introduction to Support Vector Machines, C…

– Tim Rocktäschel, Jakob Foerster and Greg Farquhar, 29/08/2018 Every year we get contacted by students who wish to work on short-term machine learning research projects with us. By now, we have supervised a good number of them and we noticed that so…

一.MPI为何物? 初步了解:MPI集群环境搭建 二.重新认识Spark 链接:https://www.zhihu.com/question/48743915/answer/115738668 马铁大神的phd thesis 总结里面说了一句话 大概意思是说 单纯的如果使用mpi 来实现一个算法 比spark 快五六倍是很正常的 但是spark 是一个 general 的 data flow 处理框架 就是可以在数据的生命周期里面 可以使用spark 之上的具体实现来处理数据 ml 只是一部分而…

这里有个2015年的综述文章,概括的比较好,各种技术的适用场景.  https://iwringer.wordpress.com/2015/11/17/anomaly-detection-concepts-and-techniques/ 其中 Clustering 技术可以使用 K-Means, Gaussian Mixture Model. GMM 模型可以参考这个很棒的文章 https://colab.research.google.com/github/jakevdp/PythonData…

这部分内容来源于Andrew NG老师讲解的 machine learning课程,包括异常检测算法以及推荐系统设计.异常检测是一个非监督学习算法,用于发现系统中的异常数据.推荐系统在生活中也是随处可见,如购物推荐.影视推荐等.课程链接为:https://www.coursera.org/course/ml (一)异常检测(Anomaly Detection) 举个栗子: 我们有一些飞机发动机特征的sample:{x(1),x(2),...,x(m)},对于一个新的样本xtest,那么它是异常数…