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Spark: A framework for cluster computing on a workgroup

Translation: Esri Lucas The first paper on the Spark framework published by Matei, from the University of California, AMP Lab, is limited to my English proficiency, so there must be a lot of mistakes in translation, please find the wrong direct contact with me, thanks. (in parentheses, the italic part is my own interpretation) Summary: MapReduce and its various variants, conducted on a commercial cluster on a large scale ...

5 Web based large data visualization application

Big data is here to help you define, http://www.aliyun.com/zixun/aggregation/18826.html, "> Redefine, know, or build a better, more flexible, stronger enterprise." When enough data is collected, the things you can do are beyond your imagination. The question is, what do you do with the data once it's collected?   You must have a data visualization tool to help you succeed. This does not mean that you have to pay a huge cost in the enterprise lifecycle ...

Machine Learning Algorithm Overview: Random Forest & Logistic Regression

In any machine learning model, there are two sources of error: bias and variance. To better illustrate these two concepts, assume that a machine learning model has been created and the actual output of the data is known, trained with different parts of the same data, and as a result the machine learning model produces different parts of the data.

Science: Cloud computing and big data in biology

In February 1977, Fredrick Sanger and his colleagues published the complete genome sequence of the first organism, the 5,375 nucleotides of the phage phiX174. Since then, it has become clear that genome-wide research will be tedious as scientists detect more complex species. Fortunately, the development of genomics soon has a solution. Just 4 months later, a new small company in Cupertino, Calif., began selling Apple II to electronics enthusiasts. Scientists also quickly discovered that ...

Reprint: Cloud computing and large data in biology

In February 1977, Fredricksanger and his colleagues published the complete genome sequence of the first organism, the 5,375 nucleotides of the phage phiX174. Since then, it has become clear that genome-wide research will be tedious as scientists detect more complex species. Fortunately, the development of genomics soon has a solution. Just 4 months later, a new small company in Cupertino, Calif., began selling Apple to electronic enthusiasts. Scientists also quickly discovered that this relatively cost-effective new computing system ...

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Science: Cloud computing and big data in biology

What is the connection between Nobel laureate, biochemist Sanger (Fredrick Sanger) and Apple founder Steve Jobs (Steven jobs)? In February 1977, Fredrick Sanger and his colleagues published the complete genome sequence of the first organism, the 5,375 nucleotides of the phage phiX174. Since then, it has become clear that as scientists detect more complex species, the whole genome of ...

Data mining and machine learning interview questions

Today, I will share all the questions I encountered during the interview and share how to answer them. Some of these questions are relatively normal and have a certain theoretical background, but some are very innovative.

Application tips: Several forms of cloud storage systems

Automated tiered Systems (automated tiering system,ats) migrate data between different storage tiers. If the data is dynamic, it is migrated to the upper tier of storage and is eventually stored in a solid state disk (SSD). There are many types of automated layered systems, with the least impact and the safest way to use them as a cache for storing dynamic data.   In particular, these systems will help cloud storage move towards the mainstream. Automatic hierarchical system of cache types will be dynamic data from traditional mechanical storage ...

Intel Wugansha: Large Data development context

On the morning of 26th, Mr. Wugansha, chief engineer of the Intel China Research Institute, delivered a speech on the theme of "Big Data development: Seeing yourself, seeing the world, seeing sentient beings". In the speech, Wugansha pointed out that the next wave of the big science and technology revolution has been ready, large data models can be divided into three categories, the first category to see themselves, as Socrates said you have to know yourself. The second level is to see heaven and earth, you have to pay attention to yourself, to the world between heaven and earth, to understand the community and social behavior. The third is to see sentient beings, the so-called sentient beings are heaven and earth, nature, all things, the so-called all sentient beings have Buddha nature, this is the day ...

Scarce data scientists

In 2006 Jonathan Goldman went to the business social networking site, LinkedIn, when LinkedIn was just a start-up, with fewer than 8 million registered people, but many members invited their friends and classmates to join, so the number of registrations increased rapidly. But it is not easy for users to find users who are already registered on the site, and the ratio does not meet the expectations of managers. Obviously, some social experiences are missing. As a LinkedIn manager says, it's like, when you get to the conference reception, you find someone ...

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