Data Analyst R

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Large data processing technology----R analysis of the system PA

With large data being adopted by more enterprises, the compilation and production language of data processing and analysis algorithms have been widely concerned. and unknowingly, open source statistics language R has become a basic technology for large data scientists and developers.   In all programming languages and techniques, popularity has soared. The following is the translation through the integration with the large data processing tools, R provides the depth statistical capability of large datasets, including statistical analysis and data-driven visualization. In industries such as finance, pharmaceuticals, media, and sales, which can directly take decisions from data, R has been applied in depth. ...

Why do some companies prefer to use the R + Hadoop solution in the machine learning business?

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 ...

Changyou executives read the main points of the earnings report and answer the analyst questions

NetEase Technology News July 28, Changyou (Nasdaq: CYOU) announced today announced today as of June 30, 2014 unaudited second quarter earnings. The data show that Changyou second quarter total revenue of 177.7 million US dollars, down 2%, down 3%; net profit of 1.9 million US dollars, the chain turnaround, down 97.5%. After the earnings release, Changyou Chang tour operators, Chen Dewen, CFO Ren Ru Xian, COO Hong Xiaojian and Chief Information Officer Pan Wenjuan and other company management then held a conference call to interpret earnings highlights and analyze the answer ...

Analyst: Oracle or will force opponents to push large data bundle systems

Earlier this month, Oracle began shipping large data machines (Oracle http://www.aliyun.com/zixun/aggregation/13527.html ">BIG Data Appliance"), analysts said. This will force major competitors such as IBM, HP and SAP to come up with Hadoop products that tightly bundle hardware, software and other tools. On the day of shipment, Oracle announces that its new product will run cloud ...

Nine programming languages needed for large data processing

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding: ...

Nine programming languages needed for large data processing

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data. But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing. Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding: ...

10 program languages to help you read the "Secrets" of Big Data

With the upsurge of large data, there are flood-like information in almost every field, and it is far from satisfying to do data processing in the face of thousands of users ' browsing records and recording behavior data.   But if only some of the operational software to analyze, but not how to use logical data analysis, it is also a simple data processing.   Rather than being able to go deep into the core of the planning strategy. Of course, basic skills is the most important link, want to become data scientists, for these procedures you should have some understanding ...

Nokia layoffs million people R & D center also affected

Leung Tech Liang Chen July 19 reported that this should be a hard-working survival of the inspirational story, but Microsoft's new CEO Nadra is bent on the fate of Nokia X come to an end. The reason is simple: messy organizational structure after the merger, long-term loss of mobile phone business, the core technology used in the hands of its competitors. Nadra said in an e-mail to all employees Thursday that it plans to move the design and products of the Nokia X-Series phones to Lumia devices running Windows Phone systems. However, almost all the criticisms ...

Open source tools to solve large data

Open source code platforms for large data are becoming popular.   In the past few months, almost everyone seems to have felt the impact. Low cost, flexibility and applicability to trained personnel are the main reasons for open source prosperity. Hadoop, R, and NoSQL are now the backbone of many of the enterprise's big data policies, whether they use it to manage unstructured data or perform complex statistical analyses. "It's almost impossible to keep up with it: SAP AG recently released a new product, SAP BusinessObjects Predictive analytics, software integration ...

Big data analysis old birds give rookie learn from the experience of the younger brothers

The author of this article: Wuyuchuan &http://www.aliyun.com/zixun/aggregation/37954.html ">nbsp; The following is my experience in the past three years to do all kinds of measurement and statistical analysis of the deepest feelings, or can be helpful to everyone. Of course, it is not ABC's tutorial, nor detailed data analysis method introduction, it is only "summary" and "experience." Because what I have done is very miscellaneous, I do not learn statistics, mathematics out ...

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