Best Practices In Data Science

October 18, China Cloud Mobile internet Innovation Grand Prix 2013 (ICOME2013)-"Play Big Data" award ceremony in the Beijing University of Aeronautics and Astronautics Report Hall. In the subsequent "Big Data era to bring innovation and entrepreneurial opportunities" Round Table forum, Tian chairman of the broadband Capital and Beijing Aerospace University president Huaijin Peng, China United Network Communications Co., Ltd. Vice President Zhang Fan, Ufida Co., Ltd. Senior vice President Zheng Yulin, Baidu Large data chief architect Mr. Lin Shi-ding, Tian Yun Rong Chuang Data Technology (Beijing) Co., Ltd. Chief ...

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 ...

From 2008 only 60 people attended the technical salon to the present thousands of people technical feast, as the industry has a very practical value of the professional Exchange platform, has successfully held the seven China large Data technology conference faithfully portrayed a large data field in the technical hot spot, precipitated the industry's actual combat experience, witnessed the development and evolution of the whole large data ecological circle technology. December 12-14th, hosted by the China Computer Society (CCF), CCF large data expert committee, the Institute of Computing Technology of the Chinese Academy of Sciences and CSDN co-organized the 2014 China Large Data Technology conference (Big&n ...

Victor Maire-Schoenberg, a professor of internet research at the University of Oxford's Cyber Institute, and author of the Big Data age: What is the magic of making more rational and reliable decisions in the big data age, so that the concept of "big data" gets universal attention around the world? What exactly is "big data"? How far can it change our lives? As we seek answers to these important questions, Victor Maire-Schoenberg, professor of Internet research at the University of Oxford's Cyber Institute, is now in our sights;

"Many disasters in human history stem from the fact that social change is always far behind technological change." This is understandable, because it is natural to welcome and adopt new technologies that improve productivity and living standards, but refuse to accept the social changes brought about by new technologies--because it is always unpleasant to adopt ideas, new systems and new practices. "--Stavrianos's history of the world" in today's information age, cloud technology, the Internet of things and the large data technology based on the two are ...

This issue focuses on "the choice of Electronic Business logistics mode" Tencent Science and Technology telecommunications business Development, logistics is the key. is the logistics model self built or outsourced to a third party? June 13, by the billion state power network editor-in-chief Jia Pengrei, invited China New Egg Network President Zhou Zhaowu, five hundred city 3C Electrical Network Chairman Shan Bin together micro Bo Chang chat. Guests said that the construction of electrical and commercial logistics and third-party cooperation will continue to coexist for a long time, but the self-built model is difficult to become mainstream. Tencent Science and technology in June opened a full range of micro-blog Online Technology v Forum, each issue invited three industry bosses, on the Internet lakes. Will cover, E-commerce, mobile interconnection ...

Preface to the development of information Industry 6 supporting documents, fully support the development of a new generation of information technology industry, promulgated the "Speed up the development of tourism industry, a number of policy measures" to promote cultural tourism industry upgrade; 　　The municipal administrative examination and approval matters are reduced from 625 items to 88 items, becoming one of the provincial capitals with the least administrative approval matters and the highest service efficiency in the western region; 　　The establishment of Guiyang University Scientific Research Institute of Scientific and Technological Innovation Alliance, gathered the best local universities, research institutes and backbone enterprise resources for the development of large data industry to provide support; ...... 　...

During the 2013-2020-year period, Japan's new IT country strategy, with the development of open public data and large data as its core, has built Japan into a society with "the highest standard of information technology in the world". --Abe's cabinet "to create the most sophisticated it national manifesto," the Japanese government proposed: "To enhance Japan's competitiveness, large data applications indispensable." Japan's big data strategy, with pragmatic application development, especially in the combination of energy, transportation, medical, agriculture and other traditional industries, Japan's large data applications are commendable. 1. National Strategy 2013 6 ...

In almost everyone's mind, big data is the large and small amount of structured and unstructured data that the enterprise IT department is growing exponentially. But while big data has become a mainstream it phenomenon, most large data projects still end in failure. The reason is that it is difficult for enterprises to find appropriate methods for large data collection, management and understanding, and ultimately from large data information to extract valuable things. Conquering large data items, and ultimately extracting the business insights that your business needs, is a daunting task in itself. But when it comes to defining ...

In almost everyone's mind, big data is the large and small amount of structured and unstructured data that the enterprise IT department is growing exponentially. But while big data has become a mainstream it phenomenon, most large data projects still end in failure. The reason is that it is difficult for enterprises to find appropriate methods for large data collection, management and understanding, and ultimately from large data information to extract valuable things. Conquering large data items, and ultimately extracting the business insights that your business needs, is a daunting task in itself. But when it comes to defining ...