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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 ...

Twitter: A simple tweet behind the powerful open source power

Absrtact: 7 years ago, one of the ideas, the success of today's popular social network and microblogging service--twitter. Twitter now has more than 200 million monthly active subscribers, and about 500 million tweets are sent every day.   Behind all this is the support of a large number of open source projects. Twitter, known as the "Internet SMS Service", allows users to post no more than 140 tweets, the idea from Twitter's co-founder, Jack Dorsey, which was dubbed "the dumbest Ever" by analysts 7 years ago ...

Top Ten most popular cloud computing skills inventory

Joe Roberts, once a SaaS product director, decided to change his job, and he decided he would continue to do so because of his extensive experience in the field of cloud computing. Roberts was previously a senior IT director and system engineer in charge of SaaS product development in the company, leaving last November. After that, he received a job offer from a number of companies, and Roberts eventually became a senior devo at Bit9 Company in Waltham, Massachusetts.

2015 cloud Computing and Industry 4.0: the first industrial cloud in China you know what?

At the end of January 2015 in the 2014 National Industrial Communications Development Briefing, Mao Weiming, Deputy Minister of Industry and Information technology, said that the integration of information and industrialization is facing the current economic downward pressure, breakthrough development bottlenecks, enhance international competitiveness, industrial competitiveness, product competitiveness of the key.   2015, the Ministry of Industry will take measures to further accelerate the deep integration of the two, including the implementation of the pilot demonstration of intelligent manufacturing initiatives and the deepening of industrial and Internet integration, ie industrial Internet. Beijing "Cloud Chain" industrial SaaS Cloud Platform Chinahyperclo ...

Build a simple demo application Watson Films

This article builds a simple demo application by using Watson Question and Answer (q&a) technology and the Q&a APIs exposed by Watson. Watson Films. Cognition exists in almost any activity that human beings do, such as language comprehension, sensation, judgment, athletic skills, learning, spatial processing and social behavior. We are increasingly expected to use machines that exhibit the same cognitive behavior. IBM Watson stands for the cognitive system (a new gauge ...).

Python Language Machine Learning Library Top 10

With the development and popularity of artificial intelligence technology, Python has surpassed many other programming languages and has become one of the most popular and most commonly used programming languages in the field of machine learning.

10 tips for successfully writing software as a service--effective skills to ensure that SaaS projects are completed on time and within budget

Uncover 10 effective tips for completing software as a service (SaaS) application in a budget on time to achieve a satisfactory return on investment. Software provided in the form of online services rather than desktop applications continues to grow exponentially. I have been involved in the development of many company SaaS projects. Based on these experiences, I have summed up 10 ...

Azure Services Discovery-Storage table (table) storage

This series of articles is a learning record about the fundamentals of azure services development, and because of time constraints, the process of wishing to discuss and explore yourself is from scratch, to be able to develop basic programming for azure services. There may be a very deep topic relative to each topic, and I would like to have time to do it through other articles.   The positioning of this series is basically positioning, take 20-30 minutes, download the code first, follow the article, run to get the relevant experience. The previous article is about Azure queue storage, this is about ...

Playing Big Data: 12 tools to know

Whether it's building large data applications or just trying to get a little bit of inspiration from the development of mobile apps, programmers now need data analysis tools more than ever.   This is definitely a good thing, so many companies from the needs and skills of programmers to build some data analysis tools. Over the past few years, Derrick has seen a lot of startups, projects, and development tools, all of which are designed to bring advanced data analysis capabilities to programmers. Sometimes, the program ...

Spark into a large data age of cloud computing

Spark is a cluster computing platform originating from the Amplab of the University of California, Berkeley, which is based on memory computing and has more performance than Hadoop, and is a rare all-around player, starting with multiple iterations, eclectic data warehousing, streaming, and graph computing paradigms. Spark uses a unified technology stack to solve the cloud computing large data stream processing, graph technology, machine learning, NoSQL query and other aspects of all the core issues, with a perfect ecosystem, which directly laid its unified cloud computing large data field hegemony. Accompany SP ...

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