What Does A Data Scientist Make

Your dream is to be a scientist? Is it so out of reach because there is no database and no equipment? If so, you have no excuse.　　Now, as long as a mobile phone, these problems are not a problem. Compile/Wang Xinli Although the function of the mobile phone is enough, the researchers are still not satisfied, and continue to open new functions, so that the mobile phone in a larger range for users. American scientists are more ingenious, the iphone developed into a high-performance microscope, to observe your physical disease site, which is living in remote areas of disease patients, will benefit from this creation, he ...

Recently, according to foreign media reports, few users are now able to use the full range of iphone features. Most users like to use their mobile phones to upload photos of their lives, or to play some entertainment programs. But smartphones can also be used to advance scientific research. Now scientists have begun to pay attention to the wide range of smart phones, the advantages of strong performance. Small smartphones are a great way to make a big career out of it, such as pushing knowledge forward in a completely new fashion that might have been considered impossible a few years ago. They have targeted development ...

2015 is an exciting year for game enthusiasts. Because in this year, with the release of Windows 10, the DirectX 11, which is criticized by many game developers, is about to be replaced by DirectX 12, which has a lot of benefits, because VR (virtual Reality) technology is incredibly in this year, For the user to bring unprecedented shock experience, because in this year, the puzzle game for many years of picture tearing problem, in almost no need to increase the cost of the premise can ...

The time for data scientist Shinton! But what exactly is a data scientist? What skills do data scientists need? Why are they different? The advent of the large data age has driven the growth of data, bandwidth, and processing power exponentially levels. Nowadays, the new field of data science has aroused great interest. "The data is crude, but oil needs to be refined before it can be used," says Amazon's former chief scientist. Today, organizations of all sizes are trying to explore how to dig out valuable information from large data. Data ...

Data scientists are described by the media as the sexiest career in the 21st century and as a superstar of the IT industry who are struggling to make big data, but in fact there are no data scientists Under the same enterprise can play big data. Up to now, as long as big data is mentioned, the most talked about is the shortage of talent, data scientists have become the most sexy career in the 21st century and so on. The report from McKinsey, a Harvard business review and consulting firm, also said that with the help of data scientists themselves naturally happy ...

For most companies, there are two options for how to turn data into profit on the big data nuggets: data-driven processes and data-driven products. Big data is now a word that has become a secret. A company like Amazon, down to a small startup, can have a few g of data a day. A photo-sharing site like Instagram can produce 500T of data a day easily. Many CEOs will ask a question: "Well, now I have so much data, under ..."

Many companies are beginning to pay attention to large data and data analysis, but the talent is difficult to find Ah! In fact, it's easy to train a new programmer to be a capable data scientist, just a few cloud servers, and then learn a few weeks of machine learning on the Internet with a data specialist. The most famous data scientist training case is the "Enterprise Prediction Solution Platform" Kaggle, the latest award winner, Carter S. The Kaggle user has developed a "overkill" analysis tool to advance the use of simple but efficient methods.

December 2014 12-14th, as the most influential and largest it event in the field of data--2014 China large Data technology conference and the second CCF large data academic conference in Beijing new Yunnan Crowne Plaza Hotel successfully ended. The conference lasted three days, with an international perspective, the paper shares the development trend of large data technology at home and abroad, and probes into the application and practical experience of "large data ecosystem", "Big Data Technology", "large Data Application" and "large data infrastructure" from the angle of technology and practice, and through innovative competitions and training courses Decryption Big Data startup heat ...

I'm a novice in data mining and machine learning, starting with Amazon last July, and because of the need for passive contact with work that has never been contacted before and what is needed to predict machine learning. Later, to Taobao, their own initiative to do a few months and user address related data mining work, there are some superficial experience. 　　Anyway, welcome advice and discussion. In addition, note that the title of this article imitates an American drama "Game of Thrones: The Song of Ice and Fire". In the world of data, we see a lot of cattle, very strong ...

December 2014 12-14th, hosted by the China Computer Society (CCF), CCF large data Expert committee, the Chinese Academy of Sciences and CSDN co-organizer of the 2014 China Large Data Technology conference (DA data Marvell Conference 2014,BDTC 2014 will be opened at Crowne Plaza Hotel, New Yunnan, Beijing. The three-day conference aims to promote the development of large data technology in the industry, and to set up "large data Infrastructure" and "large data ..."