Stella Lee's Blog

So now that you understand the basics of classification, let’s talk about loss functions,because that determines the major difference between a lot of machine learning methods.Okay so how do we measur...

01.Introduction to ClassificationClassification is a core problem of machine learning. Now machine learning is a field that grew out of artificial intelligence within computer science, and the goal is...

机器学习Python 可以说是现在最流行的机器学习语言，而且你也能在网上找到大量的资源。你现在也在考虑从 Python 入门机器学习吗？本教程或许能帮你成功上手，从 0 到 1 掌握 Python 机器学习，至于后面再从 1 到 100 变成机器学习专家，就要看你自己的努力了。本教程原文分为两个部分，机器之心在本文中将其进行了整合，原文可参阅：7 Steps to Mastering Machin...

Python是一种面向对象、直译式计算机程序设计语言，由Guido van Rossum于1989年底发明。由于他简单、易学、免费开源、可移植性、可扩展性等特点，Python又被称之为胶水语言。下图为主要程序语言近年来的流行趋势，Python受欢迎程度扶摇直上。图片来源用Python玩转数据由于Python拥有非常丰富的库，使其在数据分析领域也有广泛的应用。由于Python本身有十分广泛的应用，本...

So let’s start our unit on regression. First I’ll just do a recap and talk about simplelinear regression, which is just one feature, multiple linear regression (which is manyfeatures), how to evaluate...

Well let’s give you a quick introduction to multiple linear regression. This is ourusual regression setup with the features, the label, and the predicted label, f(x).Now I’m going to propose a very si...

So let’s talk how to evaluate a regression model. So we have to figure out a way to evaluatethe closeness of the truth to what we predicted which is f(x). So here’s what I proposedearlier 1-f and we d...

Hi so Cynthia has been discussing thetheory of regression ingeneral and linear regression inspecific, and she's also talked a bitabout how we evaluate regression modelsso in this sequence we're going ...

朴素贝叶斯参考[1]12事件A和B同时发生的概率为在A发生的情况下发生B或者在B发生的情况下发生A P(A∩B)=P(A)∗P(B|A)=P(B)∗P(A|B)P(A∩B)=P(A)∗P(B|A)=P(B)∗P(A|B) 所以有： P(A|B)=P(B|A)∗P(A)P(B)P(A|B)=P(B|A)∗P(A)P(B) 对于给出的待分类项，求解在此项出现的条件下各个目标类别出现的概率，哪个最...

机器学习常见算法机器学习无疑是当前数据分析领域的一个热点内容。很多人在平时的工作中都或多或少会用到机器学习的算法。这里IT经理网为您总结一下常见的机器学习算法，以供您在工作和学习中参考。  机器学习的算法很多。很多时候困惑人们都是，很多算法是一类算法，而有些算法又是从其他算法中延伸出来的。这里，我们从两个方面来给大家介绍，第一个方面是学习的方式，第二个方面是算法的类似性。 学习方式根据数据类型的不...

he key principle in statistical learning theory is the principle of Ockham’s razor.Now Ockham’s razor is the idea that the best models are simple models that fit thedata well and it was named after th...

I want to talk about a very basic method, in particular, it’s a very old algorithm.It dates back at least 50 years, but it really works.You won’t be disappointed in this algorithm. It’s simple,it’s fa...

Let’s talk more in depth about logistic regression. Putting that in the corner for now,I wanted to give you another perspective on logistic regression,which is the maximum likelihood perspective.And y...

So let’s talk about how to evaluate a classifier. Now just following the example,we have our features, each observation being represented by a set of numbers,and each observation’s labelled and then t...

Well let’s talk about ROC curves.I say the word ROC probably at least once every day.So ROC curves started during World War 2 for analyzing radar signals.And the question that they answer is: for a pa...

Let’s talk about another way to produce ROC curves.So ROC curves can be produced in two ways: the one that I just showed you,which is for a single, real valued classifier.In that case, the ROC curve e...

so Cynthia has been talking about the theory of classificationand specifically she's been talking also about logistic regressionso in this video I'm going to show you using some R code,a simulation in...

so Cynthia has been showing us some theory of classifiers and specifically talking about the logistic regression as kind of a baseline classifier and in this video we're going to use a regression logi...

全世界都在学习AI，当然我也不能例外。自动驾驶、人脸识别、遍地的机器人。。。So，今天起，我将开始着手翻译Principles of Machine Learning全书，全书共7个章节加一个导读，如果中间掺杂有实验，我也会和大家一起来完成。那么现在，让我们开始机器学习的旅程吧！IntroductionWelcome to the principles of Machine Learning! M...

1人工智能基础 : 高等数学必须会数据分析 概率伦 (gai lv lun) 线性代数及矩阵 凸优化 (tu you hua) 微积分(wei ji feng) 古典模型 逼近轮 牛顿法 梯度下降Python 高级应用 容器 容器浅拷贝和深拷贝 高阶函数 lambda表达式 约瑟夫环问题 模块和高级包 时间库 并发库科学计算库 Matpltlib可视化图库 锁和...

so Cynthia has been discussing thetheory of regression how we buildregression models and how we evaluateregression models in this demo I'm goingto show you using some Python code we'regoing to build a...