Azure Machine Learning Introduction

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.

Before introducing, we introduced the three main features of Windows Azure in the Introduction to Windows Azure platform. That's computing, storage, and management. So far, through the previous teaching articles, you have become familiar with the storage capabilities of Windows Azure. Of course, storage is just one of the most basic functions. To give full play to the power of cloud computing, we have to learn how to "compute". Also in the Windows Azure platform profile, we have introduced the three main computational work of Windows Azure ...

April 2--Microsoft China announced the launch of Microsoft's "Lingyun plan" for small and midsize enterprises and start-ups, April 1, when the Windows Azure cloud service, operated by the century, officially entered the first anniversary of China's commercial operations,       It will provide Microsoft Azure public cloud services, software and development tools worth 100 million RMB to 100 start-up companies. The Windows Azure cloud service operated by the century is the only international public that has landed in China ...

"Csdn Express" according to CSDN learned that September 25, 2014, by the age of the internet operation of Windows Azure officially began to provide Webdirect online purchase services, users only need to log on to the official website can directly purchase and use the international standard of public cloud services. Zhi Jiqing, Vice president and marketing and Operations manager of Microsoft Greater China, said: "Since March 26, 2014 in China, since the official business, Windows Azure operated by the century has made great strides in the development of the number of users ...

In the large data age, how to make more efficient use of data for enterprises to do more valuable decision-making and development is particularly important, the development of cloud computing and the continuous maturation of large data business, so that the topic can "play" more and more places. Another year of "Job-hopping Peak", for the recruitment site, its stored user data value both in terms of effectiveness and relevance are very quality, but how to use the data to make analysis, and to provide users with more convenient and efficient services need to rely on a number of key business help. In Chinahr, CTO Shiller, to cast Jane ...

Microsoft Global Senior vice President, Microsoft (China) Co., Ltd. Chairman Zhang 20th blog "Cloud and large data is expected to lead to subversive innovation", the article proposed that cloud computing and large data combination will be the future of political, economic, scientific and technological, people's livelihood has been difficult to assess the impact. Whether it is to do the hardware, platform, or to do the application, to do the service, in the final analysis is the data as the core, data as the driving force to enhance the product to the user's gravity, strengthen the competitiveness of enterprises, to create new business opportunities. The full text reads as follows: September 2008-July 2009, I have used the spare time, will oneself ...

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. 　　According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, it's hard to develop large data infrastructure technology products, and it's hard to sell, specifically ...

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, not only is it hard to develop large data infrastructure technology products, but it's hard to sell, particularly to big data infrastructures ...

The concept of large data, for domestic enterprises may be slightly unfamiliar, the mainland is currently engaged in this area of small enterprises. But in foreign countries, big data is seen by technology companies as another big business opportunity after cloud computing, with a large number of well-known companies, including Microsoft, Google, Amazon and Microsoft, that have nuggets in the market. In addition, many start-ups are also starting to join the big-data gold rush, an area that has become a real Red sea. In this paper, the author of the world today in the large data field of the most powerful enterprises, some of them are computers or the Internet field of the Giants, there are ...

Open source Large data frame Apache Hadoop has become a fact standard for large data processing, but it is also almost synonymous with large numbers, although this is somewhat biased. According to Gartner, the current market for Hadoop ecosystems is around $77 million trillion, which will grow rapidly to $813 million in 2016. But it's not easy to swim in the fast-growing blue sea of Hadoop, not only is it hard to develop large data infrastructure technology products, but it's hard to sell, particularly to big data infrastructures ...