Learning Gnu C

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Mahout and Hadoop: Fundamentals of machine learning

Computing is often used to analyze data, while understanding data relies on machine learning.   For many years, machine learning has been very remote and elusive to most developers. This is probably one of the most profitable and popular technologies now.   No doubt--as a developer, machine learning is a stage that can be a skill. Figure 1: Machine Learning composition machine learning is a reasonable extension of simple data retrieval and storage.   By developing a variety of components to make the computer more intelligent learning and behavior. Machine learning makes digging history count ...

Linux Learning Tutorial II

The intermediary transaction SEO diagnoses Taobao guest cloud host technology Hall to believe that a lot of beginners who want to learn Linux are worried about what to look at Linux learning Tutorials Good, the following small series for everyone to collect and organize some of the more important tutorials for everyone to learn, if you want to learn more words, can go to wdlinux school to find more tutorials. Install PHP expansion module phpize install PHP module One way is to add related parameters recompile PHP one is to use phpize, such as Eaccel ...

R language for Hadoop injection of statistical blood

R is a GNU open Source Tool, with S-language pedigree, skilled in statistical computing and statistical charting. An open source project launched by Revolution Analytics Rhadoop the R language with Hadoop, which is a good place to play R language expertise. The vast number of R language enthusiasts with powerful tools Rhadoop, can be in the field of large data, which is undoubtedly a good news for R language programmers. The author gave a detailed explanation of R language and Hadoop from a programmer's point of view. The following is the original: Preface wrote several ...

Top 10 data mining tools most needed for big data

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.

Ceylon: real progress or just another language?

The road to computer science is littered with things that will become "the next big thing". Although many niche languages do find some place in scripts or specific applications, C (and its derivatives) and Java languages are hard to replace. But Red Hat's Ceylon seems to be an interesting combination of some language features, using the well-known C-style syntax, but it also provides object-oriented and some useful functional support in addition to simplicity. Take a look at Ceylon and see this future VM ...

Construction of enterprise security building open source SIEM platform (below)

The establishment of enterprise security building Open source SIEM platform, SIEM (security information and event management), as the name suggests is for security information and event management system for most businesses is not cheap security system, this article combined with the author's experience describes how to use open source software Analyze data offline and use algorithms to mine unknown attacks. Recalling the system architecture to WEB server log, for example, through logstash WEB server to collect query log, near reality ...

Two simple ways to improve the speed of Web Access

Intermediary trading http://www.aliyun.com/zixun/aggregation/6858.html ">seo diagnose Taobao guest Cloud host Technology Lobby introduction: We usually surf the Internet when you search for a content in Baidu, Click to enter this page or you directly into a Web site, need to wait more than 10 seconds to fully open the page you need, I believe that few people are willing to continue to browse the other pages of the station, because people waiting for ...

Explore video and image analysis, monitoring, and security in cloud expansion

The author describes how to use OpenCV and similar tools for digital video analysis and methods to extend such analysis using cluster and distributed system design. In previous installments, a coprocessor designed specifically for video analysis and new OPENVX hardware acceleration was discussed, which can be applied to the computer Vision (CV) sample provided in this article. This new data-centric CV and video analysis technology requires system designers to rethink application software and system design to meet demanding requirements such as large, public facilities and infrastructure, and a more entertaining ...

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