永远不变的东西,原理 study roadmap: 1.user space: tizen power manager => suspend/resume or runtime? android power manager => early suspend / wakelock / suspend/resume / platform sleep 2.kernel: linux original suspend/resume linux runtime pm 3.write my own pow…

Machine Learning Algorithms Study Notes 高雪松 @雪松Cedro Microsoft MVP 目 录 1    Introduction    1 1.1    What is Machine Learning    1 1.2    学习心得和笔记的框架    1 2    Supervised Learning    3 2.1    Perceptron Learning Algorithm (PLA)    3 2.1.1    PLA -- "知…

转自:http://webrtc-security.github.io/ A Study of WebRTC Security Abstract Web Real-Time Communication (abbreviated as WebRTC) is a recent trend in web application technology, which promises the ability to enable realtime communication in the browser w…

Make mathematics study a habit with dogged perseverance Don't build mansion on top of loose sand. Concrete a solid foundation by allocating at least one hour for math study every day to make it a habit like reciting English words. Morning time after…

1.Plan your time carefully. Make a list of your weekly tasks.Then make a schedule or chart of your time.Fill in committed time such as eating,sleeping,meeting,classes,etc. Then decide on good ,regular times for studying.Be sure to set aside enough ti…

机器学习中遗忘的数学知识 最大似然估计( Maximum likelihood ) 最大似然估计,也称为最大概似估计,是一种统计方法,它用来求一个样本集的相关概率密度函数的参数.这个方法最早是遗传学家以及统计学家罗纳德·费雪爵士在1912年至1922年间开始使用的. 最大似然估计的原理 给定一个概率分布,假定其概率密度函数(连续分布)或概率质量函数(离散分布)为,以及一个分布参数,我们可以从这个分布中抽出一个具有个值的采样,通过利用,我们就能计算出其概率: 但是,我们可能不知道的值,尽管我们知道…

前言 Windows Azure中的服务总线(Service Bus)提供了多种功能, 包括队列(Queue), 主题(Topic),中继(Relay),和通知中心(Notification Hub). 1) 有关Windows Azure Service Bus 的中继功能, 我们在 <在IIS上发布基于Windows Azure Service Bus的WCF服务>做了详细介绍. 2) 有关Windows Azure 通知中心(Notification Hub), 我们在<如何利用W…

RabbitMQ(五) -- topics `rabbitmq`中的`topic exchange`将路由键和某模式进行匹配,从而类似于正则匹配的方式去接收喜欢的信息. topic exchange 如果想使用`topic`模式,那么可以随意设置`routing_key`.相反,需要按照一定的要求设定该值.`routing_key`在topic模式中应该选择一组拥有特定属性的单词作为该值. \* (star) can substitute for exactly one word. # (has…

These days I study the RSA Algorithm. It is a little complex, but not very. Also, my study has not finished. There remains many other things to do. E.g. Program to realise RSA; Use Applications with RSA Study other encrypt algorithms ... Lattest News…

1    Unsupervised Learning 1.1    k-means clustering algorithm 1.1.1    算法思想 1.1.2    k-means的不足之处 1.1.3    如何选择K值 1.1.4    Spark MLlib 实现 k-means 算法 1.2    Mixture of Gaussians and the EM algorithm 1.3    The EM Algorithm 1.4    Principal Components…