Python Analytics Library

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15 major frameworks for machine learning

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.

Data Science in cloud Ipython and pandas investment analysis

This article will introduce some practical examples using IPython and pandas for investment analysis and http://www.aliyun.com/zixun/aggregation/10341.html "> Statistical analysis." Let's do a common analysis and you may be able to do it yourself. If you want to analyze stock performance, you can: find a stock in the Yahoo financial zone. Download historical data and save it in CSV file format. Will be CSV ...

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 ...

Pass provides a more comprehensive service

Today, more and more PAAs (platform service) providers, in the field of cloud computing has launched a fierce competition. Cloud computing works well with the development mechanism for deploying applications.     IAAS providers provide basic computing resources, SaaS providers provide online applications such as online CRM, and PAAs offerings provide developers with a one-stop service that allows our applications to start and run quickly without paying attention to some infrastructure issues. As a service provided on the PAAs platform ...

The present situation and future development of spark

The development of spark for a platform with considerable technical threshold and complexity, spark from the birth to the formal version of the maturity, the experience of such a short period of time, let people feel surprised. Spark was born in Amplab, Berkeley, in 2009, at the beginning of a research project at the University of Berkeley.   It was officially open source in 2010, and in 2013 became the Aparch Fund project, and in 2014 became the Aparch Fund's top project, the process less than five years time. Since spark from the University of Berkeley, make it ...

Hadoop Tutorial: SQL server+hadoop Large Data solution

Microsoft's SQL Server is one of the most watched products in the database market. SQL Server is almost second in the list of database Db-engines published every month in the database Knowledge Web site.   But from this list of monthly changes can also be seen, a large number of NoSQL database rankings rising, has begun to threaten the status of traditional databases. "Quo" is no longer a big data age should be the strategy, the old database manufacturers in the maintenance of traditional market-leading foundation, and constantly expand the new market, Microsoft ...

Develop better cloud services to deal with the market

Many people know that cloud computing is still in its development stage. We can see this by looking at the large number of small or new cloud offerings. In a mature industry, smaller companies will ultimately sacrifice as more rapidly growing companies boast larger booths. In other words, many companies, big and small, offer cloud service development services and tools. The most basic product, from zero-development applications, to provide cloud-based hosting services. More comprehensive product features include development tools and pre-built applications that developers can ...

Microsoft Hele: The mission of large data is to help users make decisions

Absrtact: October 18, 2013, Microsoft held a big Data media day event with big control, big wisdom, big Insight, Microsoft Global Senior Vice President, Hele Ralph Haupter, chairman and chief executive of Greater China, said: Big Data not only October 18, 2013, Microsoft held a large data media day event on the theme of "Big control, big wisdom, big insight", said Mr Ralph Haupter, senior global vice President and chairman and chief executive of Greater China, Hele.

Microsoft launches big Data vision drives data analysis to civilian

As other manufacturers have focused more on "How to use big data for industrial transformation and corporate Innovation", Microsoft has begun to show how to use the right technology and tools so that everyone in the general public can intuitively gain insights from big data. October 18, Microsoft Global Senior Vice President, He Lebin, chairman and chief executive of Greater China, told reporters on "Big data media day" that "unlike the way other companies handle big data, Microsoft advocates thinking about the use of large data in three ways, from discovering data, analyzing data, and visualizing data." Microsoft Big Data Vision ...

Microsoft opens big data in the era of mr.big everyone can be a

There is one Mr Big in our city, he is so great that he has the power to change the world, to see what is happening, to foresee what is to come, to help us create a moving surprise, to see what is happening--with big data, who can become mr.big. The picture is Microsoft Global Senior vice president, Greater China Region Chairman and Chief Executive Officer Hele (Ralph haupter) in the Microsoft Big Data Strategy conference speech above is excerpt from yesterday Microsoft in Beijing launches its big data strategy the scene to play ...

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