Machine Learning Collaborative Filtering

"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 ...

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.

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.

The machine learning algorithm platform allows users to experiment by dragging visualized operational components so that engineers without a machine learning background can easily get started with data mining.

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 ...

With the development of the Internet, it is estimated that most products will encounter the planning of recommendation mechanism. As an Internet product person, you also need to study the core algorithm of the recommendation mechanism, and this article is an article that I've seen that gives you some basic recommendations, and turns around to share the information. It's now in the age of data explosion. , with the development of Web 2.0, the Web has become a platform for data sharing, so it becomes more and more difficult for people to find the information they need in massive amounts of data. In this case, search engine (Goog ...

Cloudera, a Hadoop publisher, did not cause much concern when it bought a london-based start-up company last year Myrrix, and Cloudera rarely promoted the company's technology in machine learning. 　　But Myrrix's technology and his founder Sean Owen's value and influence in machine learning are not to be underestimated. 　　Owen is currently developing an open source machine learning Project--oryx (Oryx, Cloudera also sells a product called Impala, Impala). Oryx's goal is to help ...

Personalized recommendations are often misunderstood as the two concepts of market segmentation and precision marketing. Although there is some connection between them, they are far different in essence. This article not only clearly describes the personalized recommendation technology, but also lists the top ten challenges it faces. Many people know personal recommendation, there are many misunderstandings on the understanding. Some people think that personalized recommendation is the market segments and precision marketing, but in fact the market segments and precision marketing tend to be divided into potential users of many groups, which is compared with the statistics based on the overall compared to have made great strides, but Distance "tailor-made for each user ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall [the core hint] reads Xiangliang "The recommendation system practice" to sum up: Although the algorithm cannot solve all problems, but the algorithm can become more humane. 　　Network is a society, in fact, the algorithm and people have not been so clear-cut. Recommendation system this thing in fact in our life everywhere, such as I buy dumplings in the morning, the boss often asked me if I would like to have a cup of soya-bean milk, this is a simple recommendation. With the development of the Internet, the line of this model to move ...

The intermediary transaction SEO diagnoses Taobao guest Cloud host technology Hall below briefly analyzes several representative recommendation engine application, here chooses two domains: Amazon as the representative of electronic commerce, watercress as the representative of the social network. Recommended applications in e-commerce –amazon Amazon as the originator of the recommendation engine, it has infiltrated the recommended ideas in every corner of the application. The core of Amazon's recommendation is to compare the user's consumption preference to other users through data mining algorithms and to borrow ...