Data Exploration In Python

Introduction: It is well known that R is unparalleled in solving statistical problems. But R is slow at data speeds up to 2G, creating a solution that runs distributed algorithms in conjunction with Hadoop, but is there a team that uses solutions like python + Hadoop? R Such origins in the statistical computer package and Hadoop combination will not be a problem? The answer from the king of Frank: Because they do not understand the characteristics of R and Hadoop application scenarios, just ...

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.

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.

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

The path of data visualization is full of invisible traps and mazes, and the recent two-bit data visualization developers of ClearStory have shared 7 of their data visualization development, and ordinary developers understand that these methods can enhance their horizons and minimize detours. The era of data visualization, especially web-based data visualization, has come. JavaScript-like visual libraries such as D3.js, Raphaël, and Paper.js, as well as the latest browsers support such as can ...

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 ...

In January 2014, Aliyun opened up its ODPS service to open beta. In April 2014, all contestants of the Alibaba big data contest will commission and test the algorithm on the ODPS platform. In the same month, ODPS will also open more advanced functions into the open beta. InfoQ Chinese Station recently conducted an interview with Xu Changliang, the technical leader of the ODPS platform, and exchanged such topics as the vision, technology implementation and implementation difficulties of ODPS. InfoQ: Let's talk about the current situation of ODPS. What can this product do? Xu Changliang: ODPS is officially in 2011 ...

Machine learning technology is gradually infiltrating into all walks of life. Computer vision, natural language processing, robotics and other fields have basically been monopolized by machine learning algorithms and are gradually expanding into traditional industries such as education, banking, and medical.

The first Ali cloud developer contest finals in November 8, 2012 in Hangzhou successfully held. Since the start of the July 20 competition, more than 2000 applicants have been enrolled. After the wonderful competition, judging by the competition jury and the online voting of the 50 entries of the first election, the finalists of the 20 finalists were selected. The jury consisted of Pan Lei, senior architect of Alibaba Group, senior director of Aliyun Tang Hong, garage coffee founder Su 菂, CSDN & "programmer" editor Liu Jiang composition, links are five minutes, mentors eliminated, one minute PK, the audience vote revival. The scene than ...

Cloud computing is the continuous development of user needs of the service model of natural generation, but also the beneficial support of green it. The development of cloud computing and the big explosion of data have the inevitable connection, the arrival of large data age makes the enterprise demand for it facilities increased, at the same time for the enterprise IT facilities procurement costs and ecological environment put forward higher requirements. Cloud computing broadly refers to the delivery and usage patterns of IT infrastructure, where users get the resources they need through the network on an as-needed and scalable basis. This service can be it and software, Internet-related, but also other services. It means computational power ...