Learning Puppet — Resources and the RAL Welcome to Learning Puppet! This series covers the basics of writing Puppet code Begin Log into the Learning Puppet VM as root, and run puppet resource service. This command will return something like the follo…

Learning Puppet — Resource Ordering Learn about dependencies and refresh events, manage the relationships between resources, and discover the fundamental Puppet design pattern. Disorder Let’s look back on one of our manifests from the last page: [roo…

Begin In a text editor — vim, emacs, or nano — create a file with the following contents and filename: written and applied your first Puppet manifest. [root@yum01 ~]# useradd testuser [root@yum01 ~]# cat /etc/passwd |grep testtestuser:x:536:536::/hom…

Begin $my_variable = "A bunch of text" notify {$my_variable:} Yup, that’s a variable, all right. refer: https://docs.puppetlabs.com/learning/variables.html…

Learning Django Django makes it easier to build better Web apps more quickly and with less code. Web Resource Django Project Doucment Django Book CN / Django Book EN Django Code Django Github Django Blog tutorial…

1. Spring MVC Spring MVC原理及配置详解 springMVC系列之(三) spring+springMVC集成(annotation方式) Mybatis3+Spring4+SpringMVC4 整合 SpringMVC+Spring+Mybatis框架整合详细教程   ( 使用MyBatis Generator自动创建代码 ) 2. Spring Boot Spring Boot 集成MyBatis 3. Spring Cache Spring Cache使用详解 Spr…

昨天总结了深度学习的资料,今天把机器学习的资料也总结一下(友情提示:有些网站需要"科学上网"^_^) 推荐几本好书: 1.Pattern Recognition and Machine Learning (by Hastie, Tibshirani, and Friedman's ) 2.Elements of Statistical Learning(by Bishop's) 这两本是英文的,但是非常全,第一本需要有一定的数学基础,第可以先看第二本.如果看英文觉得吃力,推荐看一下下面…

<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从1940年开始讲起,到60-80…

<Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost 到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室 Jurgen Schmidhuber 写的最新版本<神经网络与深度学习综述>本综述的特点是以时间排序,从 1940 年开始讲起,到…

转自:机器学习(Machine Learning)&深度学习(Deep Learning)资料 <Brief History of Machine Learning> 介绍:这是一篇介绍机器学习历史的文章,介绍很全面,从感知机.神经网络.决策树.SVM.Adaboost到随机森林.Deep Learning. <Deep Learning in Neural Networks: An Overview> 介绍:这是瑞士人工智能实验室Jurgen Schmidhuber写的最…