Best Data Science Resources

Absrtact: It is impossible to associate scientists with venture capital until you know Professor Zhang. Just like knowing Paul Graham, you can't connect a hacker to a painter. Professor Zhang's academic achievements in physics won the Franklin Medal this year before he knew Professor Zhang, and he was completely unable to associate scientists with venture capital. Just like knowing Paul Graham, you can't connect a hacker to a painter. Professor Zhang's academic achievements in physics had nearly reached the top of the Franklin Medal this year, 2 ...

VP of IBM, Greater China market, brand PR and public relations general manager three months ago, I made a very small circle of marketing attempts in Shanghai, and invited 15 customers in 6 industries. Some of these customers and IBM have millions of of dollars of business transactions each year. Through communication, we agree that companies must put aside their own schedules and ask what their customers want first. In this process, marketing is an art, to achieve no trace of snow, so that customers in business dealings with the time is particularly comfortable. If the enterprise really calm down to understand its customers, and then tailored to its plan, then ...

The world-wide information revolution has caused almost every industry to face big data problems. In order to effectively deal with the all-round challenges brought about by large data and make full use of this unprecedented opportunity, the industry, the scientific and technological circles at home and abroad and even governments are actively planning and formulating strategic plans. March 2012, the United States government announced a 200 million dollar "big data Research and development plan", the study of large data to rise to the national will. The European Union has also introduced similar initiatives. In this context, the Chinese Computer Society in October 2012 set up the CCF large data committee of experts, ...

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 ...

Zhang Fubo: The following part of the forum is mainly four guests, talk about cloud practice. Beijing First Letter Group is the Beijing government's integration company, mainly responsible for the capital window of the construction, they are also in the domestic, in the government industry earlier in a company, as the first letter Group Technical Support Center General Manager Zhang Ninglai for us to do the report. Zhang: Good afternoon, we have just introduced, I am from Beijing First Letter Development Co., Ltd., I bring today is the result of our practice in cloud computing technology these years. Today is mainly divided into three parts, we mainly do is the field of e-government applications, we are mainly ...

Open MPI is a combination of a project technology and several other projects (Ft-mpi,la-mpi,lam/mpi and Pacx-mpi) to build the best MPI library resources. Open MPI a completely new MPI-2 standard implementation, providing system and software vendors, http://www.aliyun.com/zixun/aggregation/13521.html "> Application Development and Computer science research advantages." This is very easy to use, and itself ...

August 13 News, Beijing Aerospace University president Huaijin Peng in the afternoon, "Hall of Fame-Internet trend Forum," said that cloud computing under the big data will produce new value.　　One is commercial social value, the other is academic value.　　Large data not only change our communication model, but also affect our economic and social development model, more importantly, it may be an important means of future academic and scientific discoveries.　　But he also said the application of large data would inevitably involve privacy. Huai Jin Peng proposed that the site using large data can be a lot of personal information mining out ...

Here's an outline of the keynote speech I was invited to at Omniture's promotional event yesterday. Adobe's acquisition of Omniture, a news-worthy industry event, has not received the attention it deserves (although I personally think it seems more logical for Microsoft to buy Omniture to counter Google). This also reflects the underdevelopment of the domestic data analysis industry from the side.   It is estimated that most people see my first reaction to this blog: Omniture, what? ***************************...

Recently, two things about large data are worthy of attention: first, in the middle of May, our school set up a large agricultural data research center. The second is the middle of June, the first domestic agricultural data industry technology Innovation Strategic Alliance was established in our school. 　　These two events will have an important impact on the next development of the school, and also bring new opportunities for the development of the subject. At present, large data research and application in the domestic just started, the agricultural data related research has not been deeply involved, it should be said that our school in this area to grab the first mover. 　　We must cherish and grasp this opportunity, and actively carry out relevant research, as soon as possible to achieve results. ...

In the internet age, large data is hot, many people must pro data, but can really say that the big data is not much, not to mention how to use large data to dig out the great business value. 　　How do you define large data? What are the characteristics of large data? This paper aims to clarify the concept of large data, illustrate the application of large data and explore the future development of large data. 　　Q1: Is big Data a commercial hype? The industry's definition of large data is 4 "V": Large volume (Volume), multiple species (produced), fast (velocity) ...