Big Data Sample Data

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Love Sample Net: The marketing logic behind the free sample

Intermediary transaction SEO diagnosis Taobao guest Cloud host technology Hall Many people are curious, this is to provide consumers with free samples offline for the model of the site based on what? Wen/World Network Business reporter Lu Jianing a few months ago quietly appeared in Beijing Love Sample network, is a sample for consumers to provide free online collection of the site. Through the Web site to build the platform, offline businesses pay 5000 yuan per month settled in, through the independent release of free samples for marketing. and users only through the mobile phone certification, you can access the offline store to collect or experience. ...

Interpretation of the Big Data Age: why not random samples

In the big Data age, Meyer-Schoenberg the famous three characteristics of the age of large data: 1 not random samples, but all data; 2 is not precision, but confounding; 3 is not causation, but correlation. This paper explains why "not random samples, but all data". Why a random sample? First, what is a random sample. If you happen to be stopped on the street to do a questionnaire or receive a telephone survey, congratulations, you become a random sample of a statistical analysis. It is obvious that the beauty of Uncle Meyer's example is ...

Interpretation of the Big Data Age: why not random samples

In the big Data age, Meyer-Schoenberg the famous three characteristics of the age of large data: 1 not random samples, but all data; 2 is not precision, but confounding; 3 is not causation, but correlation. This paper explains why "not random samples, but all data". Why a random sample? First, what is a random sample. If you happen to be stopped on the street to do a questionnaire or receive a telephone survey, congratulations, you become a random sample of a statistical analysis. It is obvious that the beauty of Uncle Meyer's example is ...

The big data that we misread in those years

Now, the industry and academia have been hot on the big data, whether it is academia or it circle, as long as can talk about some big data is very tall. However, big Data mining, big data analysis, big Data marketing and so on are just the beginning of course, there are many people directly criticize the big data or large data marketing to create privacy threats to us, what is the big data in the end? What is the value of it? Today, the industry and academia have been talking about a word, which is big data. Whether it's academia or it, it's big enough to talk about a little bit of data. However, large data mining ...

China with "Big data"

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

Harford: Big data, or big mistakes?

Large data is a vague expression of large-scale phenomena.   The term has now been overheated by entrepreneurs, scientists, governments and the media. Five years ago, a Google research team announced a remarkable achievement in the world's top science magazine Nature. The team can track the spread of flu in the United States, which does not depend on any medical examination. They are tracking even faster than the CDC. Google's tracking results are only a day's delay, and the CDC needs to compile a large number of physicians ' diagnoses to get a spread of the trend chart ...

Read large data: Hadoop, large data technology and related applications

This is a small book rather than an article, because it is detailed and meticulous so that you from a completely do not understand the large data technology and related applications of the layman, become a familiar with its concept and meaning of the "inner pedestrian", so it is very good! Providing effective business analysis tools and technologies to the company is the chief information Officer's priority.   Effective business analysis (from basic reporting to advanced data Mining and predictive analysis) enables data analysts and business people to gain insights from the data, which, when translated into action, can lead to greater efficiency and profitability for the company. All Business Analytics ...

China with "Big data"

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

How far is big data thinking from us?

The big data is a vague and ambiguous term used to describe a large-scale phenomenon that is now rapidly becoming the focus of entrepreneurs, scientists, governments and the media. The big data is impressive. 5 years ago, a Google research team published a remarkable study in the world's most famous science journal Nature. Without any medical test results, the team was able to track the spread of flu trends across the United States at the time, and it was even faster than the US Centers for Disease Control (CDC). Google's tracking is only later than the outbreak of flu ...

"Big Data" will change the status quo of China's industry

The time is 1948, the location is Northeast China. Liaohsi into the critical phase. For the commander of the four field army Lin Biao, the most important goal after the Jinzhou is to defeat the Kuomintang new six troops. The method used by Lin Biao is to listen to the "intelligence report" every day, and the officers on duty should read out the situation and seizure of the troops. It's almost uniform data, and it's boring. Until one day, Lin Biao suddenly discovered that in a two-armed encounter in the Hu Shack, the ratio of the spear to the spear was slightly higher than the other battles, and the proportion of the car and the cart was slightly higher than the other battles.

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