emacs

Sample selction is also called as incidental truncation. Simply say, it means the sample was not randomly selected from the total population. Some specific sample are neglect when research is collecting samples.

由统计预测问题引发的”血案”

大家都是用什么方法预估下个月的数据的。比如我现在有一月二月三月业绩数据。想预估四月的。OK，问题抛出来之后我就在想，基于这个简单却常见一个问题，实际工作场景中，我们如何运用严谨的统计思维来分析呢？突然觉得这是个好问题，就作了这篇文字，简要的分析我的思路，很可能不全面或是存在错误，敬请斧正

在理性的世界里，所有的判断都是统计学！–C.R.Rao

在终极的分析中，一切知识都是历史；在抽象的意义下，一切科学都是数学；在理性的世界里，所有的判断都是统计学。

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R language

It’s time to pay attention to Hadoop.

Hadoop [h?du:p] has became a hot topic nowadays. Pay attention to it.

Happy Mid-Autumn Festival

Knitr package of R and the Markdown

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Statistics

Summary Measures in Business Analytics

Summary Measures in Business Analytics: location measures, measures of dispersion, shape, and association; boxplots and z scores.

开始Python之旅，拯救被代码浪费的生命！

R is extremely strong. 不得不说R如此强大！

I have to say that R is extremely strong. 不得不说R如此强大！

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AWS

Transer Ameveryone on Amazon EC2 to Lightsail

Setting up R, Shiny Server in Amazon EC2

This post include all steps to set up R, Shiny Server in AWS instance.

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Machine Learning

开始Python之旅，拯救被代码浪费的生命！

R is extremely strong. 不得不说R如此强大！

I have to say that R is extremely strong. 不得不说R如此强大！

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SAS

Ways to Speed Up R

Speeding up R computation for simulation or package purposes.

Two ways to use SAS for Students

SAS University Edition & SAS OnDemand Academics

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life

TED2013 Meg Jay: Why 30 is not the new 20?

Thirty is not a new 20, so claim your adulthood, get some identity capital, use your weak ties, pick your family. Don’t be define by what you didn’t know or didn’t do.* *You’re deciding your life right now.

How bad do you thirst for success!

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哲学

Elon Musk: Five-Step Rule of Implement Rigorously

Five-step rule is: make requirements or constraints; delete part or process; simplify before optimize; accelerate cycle time; and finally automate.

思之至繁，行之至简

大道至简，但其积淀与基础凝结了无数繁琐的工序、环节以及组成部分。

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Business Analytics

Summary Measures in Business Analytics

Summary Measures in Business Analytics: location measures, measures of dispersion, shape, and association; boxplots and z scores.

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C.R.Rao

在理性的世界里，所有的判断都是统计学！–C.R.Rao

在终极的分析中，一切知识都是历史；在抽象的意义下，一切科学都是数学；在理性的世界里，所有的判断都是统计学。

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Emacs

(Reprint)knitr Support in Emacs (via ESS)

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GitHub

GitHub 的使用要开启了

开启GitHub 的使用

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Lightsail

Transer Ameveryone on Amazon EC2 to Lightsail

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OpenCPU

GitHub 的使用要开启了

开启GitHub 的使用

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Org-mode

轻量级标记语言(转载)

轻量级标记语言(转载）

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Presentation skills

《女人永远是最佳辩手》—陈铭

今天要跟大家分享的是一个关于女人和辩论的故事。名字叫做女人永远是最佳辩手。

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Shiny

Setting up R, Shiny Server in Amazon EC2

This post include all steps to set up R, Shiny Server in AWS instance.

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Tech

The year changed Tech dramatically 2007

Several big innovations that benefit you most

When you talk about the new Netflix series “House of Cards” on your iPhone 7 plus in you left hand, you may find more and more people on the street are using fancy Android mobile phone which makes you worry about whether the next generation of iPhone is worth to buy. Likewise, some easily missed technologies that benefit you a lot such as AWS, Prime Video also initiated in the same year, 2007. You may get used to them today and think that they are necessary parts of your daily life. But before 2007, they all are bound by network infrastructure.

Things are changed due to the network upgrade and launch of the App Store.

It’s intuitive to think that the expansion of statistical learning algorithms and computational power will promote the next upheaval in human society. The popularity of AI is based on mathematics, statistical methods but not limited to those narrow nature sciences which we know for centuries. Without the healthy development of these “next-generation infrastructure”, just think of it as a body but no sapiential “brain”. Without the “brain”, the AI, VR, Google Brain, Smart City wouldn’t come true.

All human knowledge as a whole will be evolved to break the boundaries that we think they are, no matter good or bad. Nature selection over the past billions of years was only led by a randomly utilizing process that optimal the number of species or just live or die. The development of AI will dwarf this complicated but not sole evolution path. The rule and the destination are rooted in the whole design of the fate of AI. The evil idea leads to releasing of demons, whereas optimizing human knowledge could lead to a world with sophisticated but elegant knowledge object.

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