Is AI software easy to learn? What software do you want to learn for artificial intelligence?

The prospect is very good, China is upgrading its industry, and industrial robots and artificial intelligence will be strong hot spots, and it will be exactly 3 5 years later. The difficulty, it must be high, you need to have innovative thinking ability, calculus, number sequence, etc. in high mathematics must be very good, software programming (the most widely used basic language: C C++) must be very good, microelectronics (digital circuits, low-frequency and high-frequency analog circuits, and most importantly, embedded programming ability) must be learned very well, and there must be a certain mechanical design ability (spatial thinking ability is very important).

In this way, you are a talent, and you are a talent in the field of artificial intelligence that China urgently needs in the next five years. If you delve deeper, you will be an expert or even a master in the field. But!!!

If you don't have these preferences and specialties or haven't been able to learn these subjects well, it's too late to make other choices.

Whether it's good or not depends on the individual! The difficulty is definitely there! Industrial robots and artificial intelligence will be a strong hot spot, the difficulty, definitely high, requires you to have innovative thinking ability, calculus in high numbers, number sequences, etc. must be very good, software programming (the most widely used language of the basics:

c c++) must be very good, microelectronics (digital circuits, low-frequency and high-frequency analog circuits, and most importantly embedded programming skills) must be well learned, and there must be a certain amount of mechanical design ability (spatial thinking ability is very important).

There are certain facts that prove that the python language is more suitable for beginners, the python language does not make beginners feel obscure, it breaks through the grammatical barrier of traditional programming language entry difficulties, beginners can learn python at the same time, but also can exercise their logical thinking, and python is also the preferred language for beginner artificial intelligence.

Learning programming is not so easy, some people may feel that the python syntax is particularly simple after reading it, but they will be confused when they look back, because they find that they can't apply what they have learned in the later stage, and the combination of theory and project is the key to learning a programming language. You can choose to enroll in the class to get started, generally about 2w, according to your actual needs to understand on the spot, you can first after the audition, and then choose the right one for you.

Chinese artificial intelligence is developing rapidly, and ** attaches great importance to artificial intelligence. The professional direction of artificial intelligence has scientific research, engineering development, computer direction, software engineering, applied mathematics, electrical automation, communications, machinery manufacturing, although the prospect of artificial intelligence is very good, but its difficulty coefficient is very high, the current demand for artificial intelligence talents is very large, compared with other technical positions, the degree of competition is reduced, and the salary is relatively high, therefore, now is a good time to enter the field of artificial intelligence. The development prospects of artificial intelligence are still very good, for several reasons, intelligence is one of the important trends in the future.

1. The development of the industrial Internet will inevitably lead to the development of artificial intelligence, and artificial intelligence technology will become one of the essential skills for people in the workplace.

At present, artificial intelligence has received extensive attention in the field of computing, and I believe that the application prospects will be more extensive in the future.

The future development prospects of artificial intelligence are still very good. There are two main directions for future AI research: the first is AI applications.

That is, how to apply artificial intelligence to a specific scenario more widely and efficiently. The second is a breakthrough in the theoretical research of artificial intelligence. This mainly refers to breakthroughs in adversarial learning, genetic algorithms, evolutionary learning, and reinforcement learning theory.

Therefore, it is a very good choice to study artificial science now.

It's still relatively easy to learn.

At present, the mainstream of artificial intelligence is still the Python language and C C++.

Python is just responsible for writing some of the implementation logic. For example, what is the first step, what is the second step, and so on.

The core algorithms of artificial intelligence are all written in C C++, because they are computationally intensive, they also need very fine optimization, GPUs, and interfaces for special hardware. And that's something that only C++ can do.

The reason why python is used is because of the ease of use of python and the characteristics of the glue language. C C++ requires a cross-language interface from other languages to C C++, so Python is preferred based on Python features.

Therefore, at present, the main language of AI programming is C C++, followed by Python.