Mathematics is an essential basic knowledge of artificial intelligence. Linear algebra formalizes the research object, and probability theory describes the statistical law. Moreover, in all kinds of algorithms and programming languages, calculation methods based on mathematics are needed. For the foundation of mathematics, we need to master advanced mathematics, linear algebra, probability theory, mathematical statistics and stochastic processes, discrete mathematics, numerical analysis and so on. In general, the mathematical knowledge of undergraduate science majors has basically met the relevant requirements of artificial intelligence.

Artificial intelligence needs a lot of knowledge reserves, and the basis is as follows:

Basic courses: finish the basic courses first and cut into the field of artificial intelligence.

For example, mathematics: machine learning, deep learning, neuron algorithm, Fourier transform, wavelet algorithm, time series, elementary advanced algebra, probability theory; Computer language: standard C language; Hardware: Understand the compilation principle and operating system, because deep learning is widely used in parallel processing. If you are unfamiliar with the hardware, you can't achieve a better algorithm with limited resources.

Algorithm is the core of artificial intelligence technology. Artificial neural network, support vector machine, genetic algorithm, etc. Of course, algorithms are needed in various fields. For example, in order to make robots navigate and build maps in the positioning environment, it is necessary to study SLAM. In short, many algorithms need time to accumulate.

The realization of artificial intelligence technology mainly uses Python programming language. Through programming language, various algorithms are applied to computer programs, so as to realize artificial intelligence programs that can be executed by the final machine. Of course, if it involves hardware development, it is best to master some programming languages such as C language.

The prospects are good. China is undergoing industrial upgrading, and industrial robots and artificial intelligence will be strong hotspots, which will happen in three to five years. The difficulty is definitely high, which requires you to have innovative thinking ability. Calculus and series in advanced mathematics must be good, and software programming (basic and widely used language: C/C++) must be good.

Microelectronics (digital circuits, low-frequency and high-frequency analog circuits, and more importantly, embedded programming ability) is very good, and also has certain mechanical design ability (spatial thinking ability is very important). In this case, you are the talent, and you are the talent in the field of artificial intelligence that China urgently needs in the next five years. If you delve deeply into a subject, you may even become a master in this field.