Is the artificial intelligence major good?

Artificial intelligence is a comprehensive subject, and the basic code ability is necessary to do it well. Therefore, to be honest, this major is not recommended as an undergraduate major, but as an in-depth research direction for postgraduate doctors of science and engineering students such as computer major and software engineering.

If you must study during the undergraduate period, schools below 985 should not be considered, and it will definitely become a bad street like computer technology around 2000.

Even after four years, there are still a bunch of students majoring in artificial intelligence who can't find jobs on the bad street. Does not mean that this industry will decline. They can't find a job when they study computer, so the computer major is not good.

If you are a college entrance examination volunteer, don't listen to your children saying that you like watching science fiction movies, and think that artificial intelligence is particularly awesome. If you like this, report it. It seems different from realization; See if he is good at science and engineering, and if he is strong in mathematical logic, he will come back;

If you are already studying artificial intelligence, we need to consider whether you have a better job and whether you are different from those "artificial intelligence" in bad streets. Give these suggestions:

First, if it's an undergraduate, it's best to study as a graduate student, and it's best to study as a doctor.

Four-year undergraduate course, unless you are very talented, it is enough to lay a good foundation, but it is not enough to study the technology of artificial intelligence in depth.

Second, almost no company will generally recruit AI direction.

The company actually recruits AI in four directions: image, sound, natural language processing and big data. The algorithm principle and practical experience that need to be emphasized in each direction are different. Yes, the school will learn everything, but it is very important to focus and deepen in one or two directions. These directions also have well-known unicorn companies in China, so you can learn more about them.

Third, focus on practice.

It is very important to have the whole process of data cleaning, labeling, modeling, parameter adjustment, deployment, monitoring and optimization, whether you have experience in dealing with some practical constraints in actual business (not just knowing theoretical algorithms), such as face recognition, and how to deal with the influence of light and background on the model effect in actual business scenes. Therefore, it is best to find an internship in a direction that interests you and find out what inconsistencies will exist when applying theory to practice. It doesn't matter if there is no internship. Do a good job in school projects.