Prior odd: The idea is to take the odds for something happening (against it not happening), which we´ll write as prior odds. For example: The chances of rain are 206 in 365. Then the Prior odd = 206:159 Likelihood ratio: However, after opening your e…

三门问题(Monty Hall problem)也称为蒙提霍尔问题或蒙提霍尔悖论,出自美国的电视游戏节目<Let’s Make a Deal>.问题名字来自该节目的主持人蒙提·霍尔(Monty Hall). 这个游戏的玩法是:参赛者会看见三扇关闭的门,其中一扇门后面有一辆汽车,选中后面有车的那扇门就可以赢得该汽车,而另外两扇门后面则各藏有一只山羊.当参赛者选定了一扇门,但未去开启它的时候,节目主持人会开启剩下两扇门中的一扇,露出其中一只山羊.主持人其后会问参赛者要不要更换其初始的选择,选另一扇…

"generative algorithm models how the data was generated in order to categorize a signal. It asks the question: based on my generation assumptions, which category is most likely to generate this signal?discriminative algorithm does not care about how…

先明确一些潜规则: 机器学习是个collection or set of models,一切实践性强的模型都会被归纳到这个领域,没有严格的定义,’有用‘可能就是唯一的共性. 机器学习大概分为三个领域: 一般的机器学习模型:没有掺杂太多统计概念,例如决策树,KNN聚类,感知机等. 统计机器学习模型:依赖统计理论,主要是贝叶斯统计,例如SVM,naive bayesian,贝叶斯线性回归,高斯过程等. 神经网络模型:可以简单的理解为感知机的扩展,因为扩展的太猛,单独成立门派咯. 如此定义,有助于菜鸡…

先明确一些潜规则: 机器学习是个collection or set of models,一切实践性强的模型都会被归纳到这个领域,没有严格的定义,’有用‘可能就是唯一的共性. 机器学习大概分为三个领域: 一般的机器学习模型:没有掺杂太多统计概念,例如决策树,KNN聚类,感知机等. 统计机器学习模型:依赖统计理论,主要是贝叶斯统计,例如SVM,naive bayesian,贝叶斯线性回归,高斯过程等. 神经网络模型:可以简单的理解为感知机的扩展,因为扩展的太猛,单独成立门派咯. 如此定义,有助于菜鸡…

1.Structured prediction methods are essentially a combination of classification and graphical modeling. 2.They combine the ability of graphical models to compactly model multivariate data with the ability of classification methods to perform predicti…

The Joys of Conjugate Priors (Warning: this post is a bit technical.) Suppose you are a Bayesian reasoning agent.  While going about your daily activities, you observe an event of type .  Because you're a good Bayesian, you have some internal paramet…

Chapter 1 Introduction 1.1 What Is Machine Learning? To solve a problem on a computer, we need an algorithm. An algorithm is a sequence of instructions that should be carried out to transform the input to output. For example, one can devise an algori…

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…

https://www.quora.com/How-do-I-learn-mathematics-for-machine-learning   How do I learn mathematics for machine learning? Promoted by Time Doctor Software for productivity tracking. Time tracking and productivity improvement software with screenshots…