On the one hand, you can improve your talent level through graduate school, and you will also have stronger employment competitiveness under the background of current industrial structure upgrading.
On the other hand, you can have more choices through graduate school. For example, developing in the computer-related direction is also a choice that conforms to the development of the times. You can focus on the related directions of big data and artificial intelligence.
Extended data
P (polynomial algorithm) problem versus NP (non-polynomial algorithm) problem
On a Saturday night, you attended a grand party. It's embarrassing. You want to know if there is anyone you already know in this hall. Your host suggests that you must know Ms. Ross sitting in the corner near the dessert plate. You don't need a second to glance there and find that your master is right.
However, if there is no such hint, you must look around the whole hall and look at everyone one by one to see if there is anyone you know. Generating a solution to a problem usually takes more time than verifying a given solution. This is an example of this common phenomenon.
Similarly, if someone tells you that the numbers 13, 7 17, 42 1 can be written as the product of two smaller numbers, you may not know whether to believe him, but if he tells you that it can be factorized into 3607 times 3803, then you can easily verify this with a pocket calculator. Whether we write programs skillfully or not,
It is regarded as one of the most prominent problems in logic and computer science to determine whether an answer can be quickly verified with internal knowledge or it takes a lot of time to solve without such prompt. It was stated by Stephen Cook in 197 1.