There may be many reasons for this, but today we will only discuss one possible reason: learning style.

As we all know, there are generally two ways to learn artificial intelligence: either self-study or training.

Then some people may be curious, what is the difference between these two learning methods? You know, there is no difference between good and bad learning methods. The key is whether this method is suitable for you.

What suits you is the best, and this sentence is also very applicable on this issue.

If it is artificial intelligence self-study, you will generally search online for videos and books related to artificial intelligence.

Although there are abundant learning resources on the Internet, it is still difficult to find complete, high-quality and systematic materials.

Generally, families in the system sell them.

In addition, artificial intelligence is not that simple. It needs to learn a lot of knowledge, such as machine learning, advanced mathematics, probability theory, programming and so on. The threshold of self-study is still relatively high.

You can't teach yourself if you want to.

Artificial intelligence training is to find a reliable artificial intelligence training class, you just need to follow the teacher.

Shenyang Shenyang UI Design Training/If you don't understand, you can ask the teacher and discuss with your classmates.

Good artificial intelligence training institutions will also give you practical projects so that you don't have to worry about your lack of practical experience.

There is also training, so don't worry about the fragmentation of learning, because the courses of reliable artificial intelligence training institutions are scientific, reasonable and systematic.

What is the difference between artificial intelligence training and self-study? Almost what I said above.

What suits you is the best!