Articles About Data Science

Tomorrow is March 18 National science and technology talent activities Day, small series for everyone to take a look at those years for the Chinese robot cause struggle backbone! Zhang Qixian Academician Zhang Qixian Academician in the institutional study, the earliest engaged in the study of spatial linkage mechanism, guiding the outstanding doctoral students to conquer space seven-bar mechanism displacement analysis problems, won the 1988 National Education Commission Science and Technology Progress First prize and 1990 National Natural Science Four awards. In the national "75" project, as "Industrial Robotics Institute ...

Absrtact: U.S. Science and technology blog TechCrunch columnist Mg Zeigler (Mg Siegler) recently wrote that the so-called 75/20/5 law in today's science and technology media, that is, in one day, readers see the Science and technology news, 75% is accurate, 20% pure nonsense, only 5% MG Zeigler, a TechCrunch columnist at the American Science and Technology blog, recently wrote that there is a so-called "75/20/5 law" in today's science and technology media, that is, in one day ...

Victor Maire-Schoenberg, one of the authors of the Great Data Age: A major change in life, work and thinking, has said that, as telescopes allow humans to perceive the universe, microscopes allow humans to observe microbes, and big data opens up a major transformation of the times. Large data, the most fashionable word in the IT field, is simply the ability to quickly obtain value information from a variety of data. The United States was the first country to discover and use the value of large data science. March 2012, the Obama administration announced the investment of 200 million dollars to pull big data related industry development, will "big data ...

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological monitoring and forecasting ...).

Absrtact: U.S. Science and technology blog TechCrunch columnist Mg Zeigler (Mg Siegler) recently wrote that the so-called 75/20/5 law in today's science and technology media, that is, in one day, readers see the Science and technology news, 75% is accurate, 20% pure nonsense, only 5% MG Zeigler, a TechCrunch columnist at the American Science and Technology blog, recently wrote that there is a so-called "75/20/5 law" in today's science and technology media, that is, in one day ...

The Internet is an industry that makes popular concepts, and Data Products is no exception. In fact, the "real" data products have long since come out, only "name" is slowly becoming popular after a few years. I have seen a lot of articles on data products. We do not have a unified understanding of the concept of understanding there are different places, so I want to simply express my point of view, the main content is not seen in other online text of a talk. First, what is the data products To talk about data products, the first unavoidable "cookie cutter problem" is the definition of data products. My understanding is: ...

Big data goes from "concept" to "value", based on large data recommendations and forecasts gradually popular, data science will rise, security and privacy become an important issue, the large data industry into a strategic industry-this is the Chinese Computer Society large Data Expert committee on the "Big Data" 2014 Ten trends in the prediction of the content. In this forecast, it also includes data commercialization and data sharing alliance, large data ecological environment development and so on. At the same time, the large data experts committee predicts that 2014, the Internet and E-commerce, Finance (stock market forecasts, financial Analysis), health care (epidemiological surveillance and ...)

In 2014, Ma Yun once again proposed that "human beings are moving from the IT era to the DT era." Humans have moved from the IT era to the DT era. The IT era is dominated by self-control and self-management, while in the DT (Datatechnology) era, it is a service.

In addition to simple bytes and bits, big data now creates billions of of dollars in business opportunities. 　　Some business organizations, such as retailers and manufacturers, analyze the customer's postal code and purchase records, and discover the limitless power that large data brings to the business development. According to the research department of the McKinsey Global Cato and McKinsey consulting firm, Big data will yield a 60% profit growth rate for the retail industry. And a recent study by the Boston consulting firm shows that customers ...