If you are not good at math, you should know why. Some of you are good at math, maybe not logical, but have a good memory, and then copy. Now we learn a lot, not as an ability, but to acquire and understand knowledge. This has nothing to do with being smart or not, just comparing your memory, which is roughly the same. What you need is more contact. Your thinking ability is different from that of a machine. People will have it.

Artificial intelligence also needs language. Even in a foreign language, if you can't learn English well, then computer programming is not easy to learn, and it has nothing to do with mathematics.

There are also some physics disciplines needed for electricity and braking, which are related to mathematics and need some logic, but more experience.

There are also artificial intelligence detection, generation, data collection, analysis, induction and extraction,

There is also the sales and promotion of artificial intelligence.

It also includes the training of artificial intelligence. Have a feeling for mathematics, or have an impact on learning artificial intelligence? Many people who study artificial intelligence may only be satisfied with some of them and begin to understand artificial intelligence, not only watching news, listening to reports, but also researching. This is because whether you study or not, you will gain some knowledge different from others, which may also affect your field. It's best to practice. Artificial intelligence is not as advanced as expected, and many of them may still be related to tradition, or at least in the future.