# Summary of Chapter 6, Decision Trees 第六章总结 决策树

What is Decision Tree? How is it different from other models? Let’s understand our first non-linear model, non-parametric model. 何为决策树？跟其他模型区别在哪儿？来了解我们第一个非线性的非参数的模型。

a machine learner

What is Decision Tree? How is it different from other models? Let’s understand our first non-linear model, non-parametric model. 何为决策树？跟其他模型区别在哪儿？来了解我们第一个非线性的非参数的模型。

*The original paper can be found atXiv.org*

What is SVM? Why is it so frequently mentioned? What makes it so powerful? Let’s take a look. 什么是支持向量机？为什么这么火？怎么就那么强大？让我们一探究竟。

How much is a 1000 square feet house? How many customers can I expect tomorrow? Let’s take a look at machine learning approach on regression problem. 百平米房子多少钱？明天能来多少顾客？让我们看一下机器学习如何解决回归问题。

Will this stock price rise? Is this merchant trustworthy? Let’s take a look at machine learning approach on classification problems. 股票会不会涨？卖家是否诚信？让我们看看机器学习如何解决分类问题。

*This article summaries machine learning process in plain languages. Surprisingly, the most important isn’t the fansy modelling…*