Accuracy Data Science

Guest: Hu Shanqing (American Chinese statistician, American hundred people meeting Washington area Co-chair) June 8, the International Science and Technology Data Commission hosted the "Big Data and Scientific Discovery International Symposium" opened, nearly hundreds of scientists gathered to discuss how to wake up the sleeping "science Big Data." Large data has entered all levels of society, science, business, social management, and so on, all are exploring the value of large data. Statistics as a science of research data, in the era of large data, its role and status is also improving. This March, the national New Town planning (2014-...

Journalist: Some people say that interest is the best teacher, and some people say it's a gift that makes you so big.　　What was the first factor that led you to be so interested in economics? KRUGMAN: My first teacher was a science fiction writer Aisac Asimov. About seven years old, I saw Asimov's "base three". The protagonist Sheton left a deep impression on me. It is the use of "psychological history" knowledge, he foresaw the Milky Way and the future of mankind. So when I was a teenager, I dreamed of being a psychic historian who saved civilization. However, "psychological history" is just ...

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 ...

Large data Applications March 2012 The Obama administration issued a "Big data research and development plan". In response, the National Science Foundation, the National Institutes of Health, the Ministry of Defence, the Department of Energy and the United States Geological Survey are investing in big data innovation. Many companies in the United States are conducting their business activities around large data acquisition and utilization capabilities as part of their product or operational backend. Research groups, governments and the private sector are also speeding up the generation of large datasets of various themes, including: Climate change, traffic patterns, health and disease data, buying behavior ...

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 ...

Compared with the traditional data, the resource characteristics of large data are especially prominent, which becomes the basis of developing large data. In the process of knowledge evolution, data is not only the foundation of information, knowledge and wisdom, but also runs through it. Entering the information age, the biggest problem is not lack of information, but the problem of Information Island, only to achieve large data sharing and standardized management, to solve this problem. Once upon a time, data was a counting tool for humans to identify the environment, and the focus on its accuracy seemed limited to scientific research. Enter the information age, we all obviously feel and letter ...

Compared with the traditional data, the resource characteristics of large data are especially prominent, which becomes the basis of developing large data. In the process of knowledge evolution, data is not only the foundation of information, knowledge and wisdom, but also runs through it. Entering the information age, the biggest problem is not lack of information, but the problem of Information Island, only to achieve large data sharing and standardized management, to solve this problem. Once upon a time, data was a counting tool for humans to identify the environment, and the focus on its accuracy seemed limited to scientific research. Enter the information age, we all obviously feel and letter ...

With the current network language, I am a liberal arts man. Mo Yan recently said in his acceptance of the Nobel Prize that literature is not science and literature is useless. I would like to explain that literature is not equal to Uvenko, liberal arts are more extensive, can be further divided into the humanities and social sciences. Social science research has always been dealing with data, of course, used to be small data, the number of low, slow, time-consuming, but good quality, but also provincial resources, in line with the current green concept. On the basis of my experience in studying small data for many years, I am talking about some of the views on large data, which is also a consensus of the social sciences. Readers read ...

Moderator: I am honored to introduce the first speaker, Professor Zhujianhua from the City University of Hong Kong. I wish teachers in the United States and Hong Kong have a long working experience, for the dissemination of sociology has a deep attainments. The subject of his speech today is a large figure in the eyes of a liberal arts professor. Please。 Zhujianhua: Thank you for the introduction of teacher Zhou, with the current network language, I am a liberal arts man, or an old man of liberal Arts. Most recently, the most impressive thing is Mo Yan's acceptance of the Nobel award, saying that literature is not science and literature is useless. I want to explain that literature is not equal to Uvenko, liberal arts ...

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 ...