First of all, the threshold of artificial intelligence is relatively high, and the requirements for learners are also relatively high. First of all, there is a kind of person who is not suitable for learning artificial intelligence, that is, people without their own goals are not suitable for learning artificial intelligence. If you want to learn artificial intelligence well, you must lay a solid foundation of professional knowledge, learn to think independently, effectively combine knowledge and data, develop new models, find your own vision, and form your own research direction of "artificial intelligence". Therefore, people with their own goals are more suitable to study this major.
Before learning artificial intelligence, no matter what achievements we want to make in the future, we must remember four things, that is, choose important topics, make real things, choose suitable research groups and study new directions. Only by recognizing this, can we better realize our value in this field, which is what students majoring in artificial intelligence should do. If you don't have these goals, don't want to innovate, and don't want to do something deep and creative, then you are not suitable for this major.
The advice to students at school is to lay a good foundation and speed up some things, which is not good for long-term development. If you want to do deep learning, you must have a good understanding of mathematics. On the other hand, enterprises focus on practical ability, that is, the ability to solve problems. Therefore, after laying a good foundation, we must exercise our hands-on ability, do some projects by ourselves, and the ability to solve problems is also a top priority. If the goal of going to college is to learn theory well, study hard, don't want to practice, and don't exercise their ability to solve problems, it is not suitable for this major.
Of course, artificial intelligence, as a subject involving a wide range of fields, needs people with strong interdisciplinary learning ability, because the combination of artificial intelligence and things is becoming more and more important at this stage. Only compound talents can really promote the development of their own fields. And some people are majoring in artificial intelligence. If they don't want to study across disciplines, they won't go far in the future. It's better not to study this major in the first place. This is not only a waste of time, but also beneficial to long-term development.
In this article, we give some advice to friends who want to learn artificial intelligence. If you want to learn artificial intelligence, you must consider whether you can accept the conditions needed by artificial intelligence or whether you have the ability to learn, so that you can be responsible for your life and not waste your youth on the road of confusion or uncertainty.