My experience with OpenAI Spinning Up
A diary on how I pick up RL and train a robot to learn to run.
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。
Summary of Emotion in reinforcement learning agents and robots: a survey
The original paper can be found atXiv.org
Summary of Chapter 5, SVM 第五节总结，向量机
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。
Summary of Chapter 4, Regression 第四章总结， 回归问题
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。
Summary of Chapter 3, Classification 第三章总结， 分类问题
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。
Summary of Chapter 2, End-to-End Machine Learning Project
This article summaries machine learning process in plain languages. Surprisingly, the most important isn’t the fansy modelling…