Facebook Machine Learning Open Source

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How to choose an open source machine learning framework

Open source machine learning tools also allow you to migrate learning, which means you can solve machine learning problems by applying other aspects of knowledge.

Carnegie Mellon University Professor Biopo: Petuum, a large data distributed machine learning platform

"Csdn Live Report" December 2014 12-14th, sponsored by the China Computer Society (CCF), CCF large data expert committee contractor, the Chinese Academy of Sciences and CSDN jointly co-organized to promote large data research, application and industrial development as the main theme of the 2014 China Data Technology Conference (big Data Marvell Conference 2014,BDTC 2014) and the second session of the CCF Grand Symposium was opened at Crowne Plaza Hotel, New Yunnan, Beijing. 2014 China large data Technology ...

Facebook Data Center Practice analysis, OCP main work results

Editor's note: Data Center 2013: Hardware refactoring and Software definition report has a big impact. We have been paying close attention to the launch of the Data Center 2014 technical Report. In a communication with the author of the report, Zhang Guangbin, a senior expert in the data center, who is currently in business, he says it will take some time to launch. Fortunately, today's big number nets, Zhangguangbin just issued a good fifth chapter, mainly introduces Facebook's data center practice, the establishment of Open Computing Project (OCP) and its main work results. Special share. The following is the text: confidentiality is the data ...

Privacy and machine learning

In machine learning applications, privacy should be considered an ally, not an enemy. With the improvement of technology. Differential privacy is likely to be an effective regularization tool that produces a better behavioral model. For machine learning researchers, even if they don't understand the knowledge of privacy protection, they can protect the training data in machine learning through the PATE framework.

Prismatic: It takes only 10 seconds to learn to analyze users ' interests by machine

There are a few things to explain about prismatic first. Their entrepreneurial team is small, consisting of just 4 computer scientists, three of them young Stanford and Dr. Berkeley. They are using wisdom to solve the problem of information overload, but these PhDs also act as programmers: developing Web sites, iOS programs, large data, and background programs for machine learning needs. The bright spot of the prismatic system architecture is to solve the problem of social media streaming in real time with machine learning. Because of the trade secret reason, he did not disclose their machine ...

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Inventory Nine popular open source large data processing technology

As global corporate and personal data explode, data itself is replacing software and hardware as the next big "oil field" driving the information technology industry and the global economy. Compared with the fault-type information technology revolution such as PC and Web, the biggest difference of large data is that it is a revolution driven by "open source software". From giants such as IBM and Oracle to big data start-ups, the combination of open source software and big data has produced astonishing industrial subversion, and even VMware's past reliance on proprietary software has embraced big Open-source data ...

Enumerate the top ten open source technology in the Big data field, ten companies

Top Ten Open Source technologies: Apache HBase: This large data management platform is built on Google's powerful bigtable management engine. As a database with open source, Java coding, and distributed multiple advantages, HBase was originally designed for the Hadoop platform, and this powerful data management tool is also used by Facebook to manage the vast data of the messaging platform. Apache Storm: A distributed real-time computing system for processing high-speed, large data streams. Storm for Apache Had ...

Share 11 mainstream open source programming tools

REVIEW: With open source programming tools, you can easily learn, modify, and improve the quality of your code based on open source licenses. This article collected 11 of the most popular and valuable open source programming tools. May give you a little surprise. Let's see it together NO.1 Rhomobile Rhodes Ruby may be the second most popular language on Github, if you want to use it to develop the iPhone may not be for you ...

Open source framework for distributed computing introduction to Hadoop practice

In the SIP project design process, for its large log in the early consideration of the use of task decomposition of multithreading mode to analyze statistics, in the previous blog mentioned that part of the design, but because the content of the statistics is still very simple, Therefore, the use of memcache as a counter combined with MySQL completed http://www.aliyun.com/zixun/aggregation/38609.html "> Access control and statistical work." But the future, for the massive day ...

BDTC ppt Collection (ii): A large data architecture shared by Facebook, LinkedIn, etc.

From the 2008 60-man "Hadoop in China" technology salon, to the current thousands of-person scale of the industry technology feast, the seven-year BDTC (large data technology conference) has fully witnessed the transformation of China's large data technology and applications, faithfully depicting the large data field of technology hotspots, Precipitated countless valuable industry experience. At the same time, from December 2014 12 to 14th, the largest China data technology event will continue to lead the current field of technology hotspots, sharing the industry experience. In order to better understand the trend of industry development, understanding of enterprises ...

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