Graph Theory Data Science

First of all, do not think that read this article can become a big data master, otherwise it will not use the word "cultivation", to cultivate into large data master is not an easy thing, can be said to be very difficult one thing. Or not even the big data source-the United States does not exceed 10 people (perhaps 5, 6) to reach this level, in China ... 　　Forget it, I won't say it. This article is actually for you to refer to a process unusually difficult, but the future is very bright road. No perseverance, look at the good, never seriously. (To be honest, even if you want to see this article ...)

With Facebook on the market, social networking has become the focus of attention again. Compared with traditional forums and blogs, social networking is a bridge between the virtual world and the real world, and the relationship between people in real life is established on the Internet. In terms of social networking, Facebook, Twitter, and LinkedIn represent three different social networks. Facebook is a social network based on strong relationships between friends that help maintain and improve relationships. Twitter is a social interaction based on a one-way focus on weak relationships ...

This paper is an excerpt from the book "The Authoritative Guide to Hadoop", published by Tsinghua University Press, which is the author of Tom White, the School of Data Science and engineering, East China Normal University. This book begins with the origins of Hadoop, and integrates theory and practice to introduce Hadoop as an ideal tool for high-performance processing of massive datasets. The book consists of 16 chapters, 3 appendices, covering topics including: Haddoop;mapreduce;hadoop Distributed file system; Hadoop I/O, MapReduce application Open ...

Large data areas of processing, my own contact time is not long, formal projects are still in development, by the large data processing attraction, so there is the idea of writing articles. Large data is presented in the form of database technologies such as Hadoop and "NO SQL", Mongo and Cassandra. Real-time analysis of data is now likely to be easier. Now the transformation of the cluster will be more and more reliable, can be completed within 20 minutes. Because we support it with a table? But these are just some of the newer, untapped advantages and ...

Data, is a relatively abstract noun, the use of data and research has a long history, processed data can be used as an important reference for people's behavior, small to day-to-day consumption to business operations, national decision-making, economic areas of data use is more comprehensive and in-depth, the model derived from the data in various decision-making plays an important role, 　　As one of the fastest growing business models, the use of electronic commerce in data is still in its infancy. With the rise of the Internet, the concept of data has undergone a fundamental change, the early 20th century, mathematics, physics and other natural science has been data applications ...

Machine learning is a science of artificial intelligence that can be studied by computer algorithms that are automatically improved by experience. Machine learning is a multidisciplinary field that involves computers, informatics, mathematics, statistics, neuroscience, and more.

Algorithm one: Fast sorting algorithm is a sort algorithm developed by Donny Holl. In average, sort n items to be 0 (n log n) times compared. In the worst-case scenario, 0 (N2) comparisons are required, but this is not a common situation. 　　In fact, fast sorting is typically faster than the other 0 (n log n) algorithms because its internal loops (inner Loop) can be implemented efficiently on most architectures. Quick sort using divide-and-conquer method (http://www ...)

This article attempts to give an appropriate perspective on artificial intelligence (AI) and review the work we have done and the achievements we have made. We have listed achievements in the field of artificial intelligence for half a century and discussed the recent IBM Watson-Dangerous Edge Challenge.

To extract and analyze the public opinion information implied from the unstructured data from the Internet, and to create more and more market space in the first wave of large data. And how to use from the Internet, social networks, mobile applications and other innovative fields to create a burst of growth in the mass of unstructured data to create value, is the current major data industry focus on the hot topic. Using massive data analysis tools and algorithms to extract and analyze the public sentiment information implied in unstructured data from the Internet, so as to provide decision support for the work of government and enterprise managers, and also be the first of large data ...

Now the investment community has focused on projects such as mobile Internet applications, internet finance and smart-wear devices, which appear to be pigs in a number of outlets. Undeniably, in the Internet and traditional industries constantly penetrate into the depth of the present, each of these projects to promote, will change people's life, are an immeasurable blue sea. But the odd thing is that a lot of reserves, when rich in gold, are just flashing in the torrent of time ahead, and then buried by a din and doubt. This gold mine, which I will elaborate and excavate, is a pig that can really fly ——...