Twitter Api Data Mining

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big  Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. China Mobile Suzhou Research and development ...

From the forefront of the development of large data in the Internet emerging industries, and human life is closely related to health care, power, communications and other traditional industries, the tide of large data constantly changing people's production and lifestyles. The arrival of the big data age brings a lot of change impetus and great value to all walks of life at home and abroad. The size of the global data market will usher in a composite growth rate of up to 26% over the next five years-from $14.87 billion trillion this year to 46.34 billion in 2018, according to a new report by research firm MarketsandMarkets.

From the forefront of the development of large data in the Internet emerging industries, and human life is closely related to health care, power, communications and other traditional industries, the tide of large data constantly changing people's production and lifestyles. The arrival of the big data age brings a lot of change impetus and great value to all walks of life at home and abroad. The size of the global data market will usher in a composite growth rate of up to 26% over the next five years-from $14.87 billion trillion this year to 46.34 billion in 2018, according to a new report by research firm MarketsandMarkets.

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

With the rapid development of social networks, the Internet will release http://www.aliyun.com/zixun/aggregation/13584.html "> Massive data in real time." Social networks provide a wealth of services to individual users, reflecting their value in application. However, privacy issues are even more worrisome when personal data in social networks is searched arbitrarily. 　　It is particularly noteworthy here that, in such a large data age, the growing data "black market" is dangerous. Beyond the site "use ...

From the Silicon Valley firm, to everyone's discussion of the bubble problem, how large data and artificial intelligence combined? What is the prospect of science and technology in the 2015? Dong Fei, a Coursera software engineer from Silicon Valley, sorted out the dry goods and various occasions in his recent Stanford public lectures to share with you. He has a hands-on experience, as well as a detailed analysis of some of the companies that have worked or studied in depth, such as Hadoop, Amazon, and LinkedIn. Dong Fei page Here, the mailbox is Dongfeiwww@gmail ....

C + + computer vision ccv-based on C language/provides cache/core machine Vision Library, novel Machine Vision Library opencv-It provides C + +, C, Python, Java and MATLAB interfaces, and supports Windows, Linux, Android and Mac OS operating system. General machine learning Mlpack dlib Ecogg Shark Closure Universal machine learning Closure Toolbox-cloj ...

Machine learning engineers are part of the team that develops products and builds algorithms and ensures that they work reliably, quickly, and on a scale.

In fact, for the different needs of enterprise users in the application management solution deployment and delivery model, Blue Ocean provides two product and service delivery modes: The traditional software licensing model (Blueware) and the Cloud based SaaS model (ONEAPM). Blueware mainly for traditional large enterprises, while ONEAPM mainly for Internet enterprise developers. With ONEAPM, developers can increase development speed, release applications faster, and pinpoint bottlenecks in the usage experience. According to the introduction of Blue Ocean News, ONEAPM ...

Yesterday, Baidu announced 28th this month will launch a similar balance treasure wealth management products "hundred", the target of the annual rate of return may reach 8%. The move from Ali Pengley just after the micro-trust only a week. Baidu, Tencent and other internet giants, Merchants Bank and other old financial institutions such as Ping An, and even the giants of game manufacturers try to occupy the fashionable Internet finance business. The biggest difference between "internet finance" and "financial Internet" is the attribute of "Internet". Traditional finance is due to the wealth of people, the Internet finance because of people's enrichment, traditional financial institutions as the center, Internet financial users as the center;