How To Machine Learning

The panorama covers the infrastructure of the big data artificial intelligence industry, open source frameworks, data APIs, data resources, cross-infrastructure analysis, industrial applications, enterprise applications, analytical tools, etc., covering 1095 big data companies into the panorama.

Large data and artificial intelligence technology is not only the chips of the IT giants competition, but also the fast track of the success of the creators ' entrepreneurship. On January 24, on the Microsoft VC Display Day, the results of the fifth phase of the 15 teams and selected sixth 21 teams, covering the internet finance, corporate collaboration, online education, life services, health management and other areas, none of the use of cloud computing, large data, Mobile and artificial intelligence technology to seek new market opportunities. Microsoft's VC accelerator was launched in China in July 2012, offering free "change, looking for the market" for the winning team.

Star Ring Technology's core development team participated in the deployment of the country's earliest Hadoop cluster, team leader Sun Yuanhao in the world's leading software development field has many years of experience, during Intel's work has been promoted to the Data Center Software Division Asia Pacific CTO. In recent years, the team has studied large data and Hadoop enterprise-class products, and in telecommunications, finance, transportation, government and other areas of the landing applications have extensive experience, is China's large data core technology enterprise application pioneers and practitioners. Transwarp Data Hub (referred to as TDH) is the most cases of domestic landing ...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo! North ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

For large data analysis, network security is a potential application field. By analyzing large data, the attacker's pattern can be screened to be more proactive in defending against network attacks, rather than being able to guard against known attack patterns, as is the case with traditional security defenses. And startups like Cylance, with big data technology, have done their financing. The existing network payment and network transaction fraud prevention system is too complex, also can not effectively eliminate the network fraud, Siftscience such a start-up company began to try to use machine-based learning ...

Now, many industries have started to find the right person for a new data technology-related position, which is data scientists. With the participation of big-name companies such as Facebook, Google, StumbleUpon and PayPal, data scientists have become increasingly hot on the job. This kind of talented person can skillfully combine the business, analytical work and computer skill, bring us unprecedented enterprise productivity promotion and blank filling function. Facebook "In this position, you will be a software engineer and measurement researcher ...

At present, everyone is talking about big data, talking about the DT era, but what is big data, everyone has their own opinion, like blind people, each thinks that they are real elephants. After all, the big data that will lead the next revolution of humanity can be made clear by not a few articles.

For large data analysis, network security is a potential application field. By analyzing large data, the attacker's pattern can be screened to be more proactive in defending against network attacks, rather than being able to guard against known attack patterns, as is the case with traditional security defenses. And startups like Cylance, with big data technology, have done their financing. The existing network payment and network transaction fraud prevention system is too complex, also can not effectively eliminate the network fraud, Siftscience such a start-up company began to try to use machine-based learning ...

There are two main ways to store data: Database and filesystem, and the object-oriented storage are developed behind, but the overall thing is to store both structured and unstructured data. DB is initially serviced for structured data storage and sharing. FileSystem storage and sharing is large files, unstructured data, such as pictures, documents, audio and video. With the increase in data volume, stand-alone storage can not meet the needs of structured and unstructured data, then in the era of cloud computing, there is a distributed ...

What is the most interesting word in the business world of the 2013? All walks of life, every corner has a large number of traces: electric business platform, shopping malls, banks, hotels ... 　　Even if you stay indoors at home, it will also provide insight into your needs and timely delivery of the information, goods or services you want. This is almost exactly the same as Shiji's expectation. In July 2012, the American information management expert, a former Data Warehouse programmer, published a book "Big Data: The Coming Data Revolution" ("Big Data") to remind you of "the Chinese story".

You must have heard a lot about "big data", but you didn't understand what was going on. Even though you're feeling the "certain" convenience of it all the time: A week ago when you were interviewing on a social networking site, you knew when you finished the interview that the real intention of the test was to match how well you fit into your team's personality. Another example, in 11 Golden week before you received a ticket application push information, which prompts you to 16 days in advance by telephone booking train tickets, than on the same day on the Internet to buy tickets high probability of success. When you really hit the past, you find that the phone reservation system is busy, not ...

Do you need a lot of data to test your app performance? The easiest way to do this is to download data samples from the free data repository on the web. But the biggest drawback of this approach is that the data rarely has unique content and does not necessarily achieve the desired results. Here are more than 70 sites with free large data repositories available. Wikipedia:database: Provide free copies of all available content to interested users. Data can be obtained in multiple languages. Content can be downloaded together with pictures. Common crawl to establish and maintain a human being ...

How fast is the tide of big data? IDC estimated that the amount of data produced worldwide in 2006 was 0.18ZB (1zb=100), and this year the number has been upgraded to a magnitude of 1.8ZB, which corresponds to almost everyone in the world with more than 100 GB of hard drives. This growth is still accelerating and is expected to reach nearly 8ZB by 2015. The storage capacity of the IT system is far from adequate, let alone digging and analyzing it deeply. In this article, Baidu Chief scientist William Zhang, Teradata Principal customer Officer Zhou Junling, Yahoo!...

"Editor's note" predicts the future is a very crazy thing, and now the development of enterprise technology is always beyond our imagination. Eric Knorr, InfoWorld's editor-in-chief, predicts that 9 of the big technologies will be in place in 2015 or in the coming years. He believes that open source is the first choice for enterprises to obtain competitive advantage, as a developer should pay attention to technical hotspots, and around the core technology to build a similar docker, Hadoop and other ecosystems. The following is: 1. The public cloud will be successful this year, IaaS and PAAs of the melt ...

Before introducing the microblogging recommendation algorithm, let's talk about recommendation systems and recommended algorithms. There are some questions: what scenarios does the recommendation system apply to? What are the problems and what value are they used to solve? How is the effect measured? The recommendation system was born very early, but was really valued by everyone, originated from the "Facebook" as the representative of the rise of social networks and "Taobao" as the representative of the prosperity of the electric business, "choice" of the era has come, information and items of great wealth, so that users such as the vast universe of small points, at a loss. The recommendation system ushered in an outbreak of opportunity to become closer to the user: fast ...

Why let Hadoop combine R language? R language and Hadoop let us realize that both technologies are powerful in their respective fields. Many http://www.aliyun.com/zixun/aggregation/7155.html "> developers will ask the following 2 questions at the computer's perspective. 　　The problem 1:hadoop family is so powerful, why do you want to combine R language? Problem 2:mahout can also do data mining and machine learning, ...

This article describes ways to perform large data analysis using the R language and similar tools, and to extend large data services in the cloud. In this paper, a kind of digital photo management which is a simple and large data service is analyzed in detail, and the key elements of searching, analyzing and machine learning are applied to the unstructured data. This article focuses on applications that use large data, explains the basic concepts behind large data analysis, and how to combine these concepts with business intelligence (BI) applications and parallel technologies, such as the computer Vision (CV) and ... as described in part 3rd of the Cloud Extensions series.

The following small series summarizes 10 best data mining tools for everyone, which can help you analyze big data from various angles and make correct business decisions through data.

The concept of "machine learning" has been a concern of the scientific community since the 50 's. In recent years, "deep learning" has gradually become a new field in machine learning research, whose motive is to establish and simulate the neural network of human brain to analyze and learn, and imitate the mechanism of human brain to recognize the data of image, sound and text. The latest development of "machine depth learning" technology is summarized by the Internet edition of the American Science and Technology media, Wired magazine. The following is the main content of the article. In the eyes of Quoc Le, the world is made up of a series of numbers. "A digital photo ...