Questions To Ask A Data Scientist

For the attitude of data analysis, there are a few complaints to vent, purely personal feel in these years of work experience. After the interview, I have been interviewing this weekend, a total of more than 30 people, only half can go to my level, whether it is a few years of work, or a bit of work experience, whether it is a prestigious university or general school Their attitude towards the data made me feel a bit disappointed. I asked them, if I was the CEO of Jingdong Mall, Monday morning you want to show me last week's three data, what data would you choose? Almost all of them answered without a second ...

Lead: The New York Times Printing Paper published an article on the 30th that big data will evolve into a new chapter in the history of human commerce, most likely to replace the paradigm of ideas, examples, organizations, and even human thinking of the world. But at the same time, experience and intuition are as indispensable. The following is an excerpt from the article: "Big data is important and intuitive as well." This was the subject of an industry conference held at the Massachusetts Institute of Technology earlier this month. Andrew McAfee, chief scientist at the Massachusetts Institute of Technology Digital Commerce Center, said big data will be a human business history ...

Much of the data, which is almost deified by news media and academic conferences, has recently been repeatedly poured cold water. In early 2013, Gurieet Singht, co-founder and CEO of Avasid, a leading U.S. data analyst, hinted that "big data" might not be as reliable. He pointed out that the analysis of the data from the beginning of the query is a dead end, the researchers are only from the data collected to extract 1% of the analysis, and the 1% analyzed data is used to dominate the enterprise innovation and the formation of some ideas, this is clearly unscientific. May 2013 ...

Graphlab provides a complete platform for organizations to use scalable machine learning systems to build large data to analyze products, including Zillow, Adobe, Zynga, Pandora, Bosch, ExxonMobil, etc. They capture data from other applications or services, and transform large data concepts into predictive applications that can be used in production environments through system models such as referral systems, fraud monitoring systems, emotional and social network analysis systems. Carlos Guestrin is GRAPHL.

Absrtact: In Internet companies, LinkedIn is a famous "slow company," but LinkedIn is also the most successful social network, with user quality, advertising value being the industry leader, and the secret is that LinkedIn has an efficient team of data scientists. Here's a look at LinkedIn's chief data scientist, Manu Sharma, about LinkedIn. As a social network, LinkedIn is not the biggest or the fastest growing. Founded in 2003, LinkedIn spent ...

Big data is hot now, enterprises, individuals are talking about big data have their own different views and views, but the author through the day-to-day chat with friends, found that many friends still have some misconceptions about large data, such as many people will think Big data is a latest technology, Some friends think that there are more data to serve only one person and so on, these questions we will discuss with you in this issue. Big data is not a new technology big data is now integrated into our lives, people in the day-to-day work of the office will be exposed to large data, the large number of data are always different ...

Lead: The New York Times print edition of the 30th article said that big data will be the history of human business in the chapter, is expected to replace ideas, examples, organizations and ways people think about the world. But at the same time, experience and intuition are indispensable. The following is a summary of the article: "Big data is important and intuition is essential." "It was the subject of an industry meeting held at MIT earlier this month. The big data will be a new chapter in the history of human business, said Andrew McAfee, chief scientist at the MIT Digital Business Center. Another of the centre ...

Jede Domingues, a 26-year-old who has never been to college, was judged by the gold-plated company's algorithm as a programmer, and then recruited by the new company. Last summer, 26-year-old Jede Domingues (Jade domingues) received a sudden e-mail that a San Francisco start-up company asked him to interview programmers. Dominguez, who lived in a rented room in Pasadena, California, on credit cards, is learning to program. Dominguez in high school, did not want to go to college ...

Jede Domingues, a 26-year-old who has never been to college, was judged by the gold-plated company's algorithm as a programmer, and then recruited by the new company. Last summer, 26-year-old Jede Domingues (Jade domingues) received a sudden e-mail that a San Francisco start-up company asked him to interview programmers. Dominguez, who lived in a rented room in Pasadena, California, on credit cards, is learning to program. Dominguez in high school, did not want to go to college ...

Large data will be a new chapter in the history of human business and could replace ideas, paradigms, organizations and ways in which people think about the world, according to a print edition of The New York Times, published 30th. 　　But at the same time, experience and intuition are indispensable. The following is a summary of the article: "Big data is important and intuition is essential." 　　"It was the subject of an industry meeting held at MIT earlier this month. Andrew Macafi, chief scientist of the MIT Digital Business Center.