Today is June 8, in addition to individual provinces, the annual college entrance examination will be concluded today.
According to this term the students know almost broke the news on, the 2019 college entrance examination math difficult a new height. In addition to the examination of the "Cloud", the students also measure a bit of artistic talent, after all, a perfect body proportions not everyone is able to come out.
In addition, I heard that the examination of the Cauchy criterion of proof, but that will graduate admission exam ah ......
Properly properly on the hot microblogging search
Tucao finished college entrance math this year, we hope to face what has happened, the energy used in the estimation results, the school's top choice.
After all, if the school, choose a good professional, it is possible to make a comeback.
"New Engineering" professional candidates to become the new hot spot
The past two years, is called a "new engineering" professional - big data and artificial intelligence is being replaced by economic, financial and other professional has become a new focus.
Chinese universities this year also opened large data undergraduate fourth year, and including Nanjing University, including more than top universities, has gradually turned AI plans to recruit undergraduates from the start.
So how to choose a professional do, a view that I wanted to learn Big Data Big Data persons / artificial intelligence graduates can be directly entered professional big data and artificial intelligence, from undergraduate is inserted directly into the field; and the other voices that, this should first select the basic disciplines of Mathematics and computer, and then lay the foundation into the big data type or artificial Intelligence.
There is also a community voice pour cold water on that before the current engineering of new professional e-commerce can be compared to professional, is only temporary, "wind and water" When the students finished a four-year undergraduate, perhaps became popular professional.
So, for these questions, digest bacteria from the point of view of scholars, university set up several aspects of the new model of professional engineering and artificial intelligence professional status, etc. to answer.
Nanjing University, Zhou Zhihua understanding of artificial intelligence
Nanjing University Professor Zhou Zhihua regarded as leaders in the field of AI, he wrote that the "machine learning" have a very high rating in the academic community.
In the last year he had published an article: "Think Artificial Intelligence founder of first-class university education" very good reference to the current status of artificial intelligence:
There are two directions in artificial intelligence, a strong artificial intelligence, that is desired to develop to meet or exceed the level of human intelligence artifacts;
Another weak artificial intelligence, helping people decisions. Both directions, of course, weak artificial intelligence is a trend, therefore, pattern recognition, autopilot, image recognition and other technologies became mainstream artificial intelligence professional.
From the disciplines speaking, Zhou Zhihua's article also dished out a problem that artificial intelligence is tinkering with the original subject, or the establishment of an independent discipline?
In this regard there is a very famous example of "aircraft" and birds: no aircraft of the time, to see how the birds fly overhead, a lot of people want to say is that we build a bird, so he made a vehicle in accordance with the bird's way. Although research and development of aircraft inspired by birds. But now research aircraft clearly different from the scientific study of birds. Birds science itself is important, but it is not training aircraft manufacturers must master scientific knowledge, it does not prevent the birds did not clear airplanes and aircraft flying the same way nor do they need a bird of flight.
Mentioned artificial intelligence, he said the most mean artificial intelligence is a combination of mathematics, computers, biology, etc. is made, it's not that artificial intelligence is a patchwork of other professional made. Similar to large data, such as scientific data, full name of scientific data and big data technologies. In fact, big data and cloud computing, like the traditional IT infrastructure, these are not the same, the biggest difference is in the cloud computing infrastructure level, we can participate in all IT staff.
The Data Science and Big Data technologies, more biased in favor of the application layer, it is not only the technical level people can participate, people can also participate in the application layer, such as precision marketing, it is recommended that all these things are based on some decision-making data, Therefore, the demand for talent is not only a technical level, but also talent business knowledge, algorithms, mathematical skills. Zhengzhou infertility hospital: http: //wapyyk.39.net/zz3/zonghe/1d427.html Zhengzhou infertility hospital Which is good: http: //wapyyk.39.net/zz3/zonghe/1d427. html Zhengzhou infertility hospital rankings: http: //wapyyk.39.net/zz3/zonghe/1d427.html
Big Data university professional training methods: multi-disciplinary integration, identify the direction
The creation of professional schools big data, at the end, when only three of 16, to 17 years in March, when added 32; the third installment in March jumped by 18 248, while 196 colleges and universities in 2019 approved the big data related fields. The reason why the number of schools is growing so much, because there are a lot of market demand. Only in case there is a demand will develop national policy, then the school will respond.