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Netease Technology News July 9 news, a few days ago Zhongguancun business forum, Digital Chief Scientist Xie Yun of artificial intelligence conducted a keynote speech; speech, Xie Yun shared several stages of artificial intelligence research and said, The second key shift in the IT industry came as computing speeds grew faster, "and there was another major turning point in the path to making computers faster and faster - today's foundational technology platform In most cases rich enough, no longer become the bottleneck of the application.Yun Yun think, in 1956, a group from neurology, logic, ...

Netease Technology News July 9 news, a few days ago Zhongguancun business forum, Digital Chief Scientist Xie Yun of artificial intelligence conducted a keynote speech; speech, Xie Yun shared several stages of artificial intelligence research and said, The second key shift in the IT industry came as computing speeds grew faster, "and there was another major turning point in the path to making computers faster and faster - today's foundational technology platform In most cases rich enough, no longer become the bottleneck of the application.Yun Yun think, in 1956, a group from neurology, logic, ...

Author: Andrew Nusca,robert hackett,shalene Gupta Translator: Pak From: Wealth Chinese network large data not only to deal with a lot of numbers, but also to build models through these numbers, dig deeper, and look for those who are likely to change the way the business operation of information. I would like to introduce you to the top 20 large data fields. Pinterest data scientist Andrea Berbink Pinterest is a picture-oriented social ...

Data is not just about dealing with a lot of numbers, it's going to have to build models, dig deeper, and look for information that might change the way companies operate. 　　I would like to introduce you to the top 20 large data fields. Pinterest data scientist Andrea Berbink Pinterest is a picture-oriented social network, with data scientists Andrea Berbink primarily responsible for the company's A/b test to assess how the company's Web site, app's appearance or function changes will affect its 60 million of global users. If P ...

Author: Andrew Nusca,robert hackett,shalene Gupta Translator: Pak From: Wealth Chinese network large data not only to deal with a lot of numbers, but also to build models through these numbers, dig deeper, and look for those who are likely to change the way the business operation of information. I would like to introduce you to the top 20 large data fields. Pinterest data scientist Andrea Berbink Pinterest is a picture-oriented social ...

More and more applications involve big data, the attributes of these large data, including quantity, speed, diversity, and so on, are presenting a growing complexity of large data, so the analysis of large data is particularly important in large data areas, which can be a decisive factor in determining the value of final information. 　　Based on this, what are the methods and theories of large data analysis? Five basic aspects of large data analysis Predictiveanalyticcapabilities (predictive analysis capability) data mining allows analysts to better understand the number ...

As of September 2014, the world's roughly 69 billion-dollar companies, mainly in the United States, Europe, the three major economies, including the U.S. occupies 33, Europe occupies 21, and China has 9. The Chi market capitalisation of the United States, born in 19th century, 14, such as Procter and Gamble, Johnson, Coca-Cola, Pepsi, GE, Exxon Mobil, and so on, can be seen as the era of industrialization and consumption burst the golden age; another 100 billion-level climax was in the 1970s, Intel, Microsoft, Apple, Oracle , Qualcomm, Google and other it giants have risen, these public ...

To understand the concept of large data, first from the "Big", "big" refers to the scale of data, large data generally refers to the size of the 10TB (1TB=1024GB) data volume above. Large data is different from the massive data in the past, and its basic characteristics can be summed up with 4 V (Vol-ume, produced, and #118alue和Veloc-ity), that is, large volume, diversity, low value density and fast speed. Large data features first, the volume of data is huge. Jump from TB level to PB level. Second, the data types are numerous, as mentioned above ...