1 first, learn the basic knowledge of advanced mathematics thoroughly, starting with basic data analysis, linear algebra, matrix and so on.

2. Secondly, Python, a language often dubbed glue language, can easily connect various modules made in other languages (especially C or C++). For example, the graphics rendering module in 3D games requires extremely high performance, and can be rewritten in C language or C++, and then encapsulated into an extended class library that Python can call, which is also an essential knowledge of artificial intelligence.

3. Next is the key learning content of artificial intelligence. If you have been a programmer for many years, you can start to learn:

4. Machine Learning (ML) is an interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. It is the core of artificial intelligence and the fundamental way to make computers intelligent. Its application covers all fields of artificial intelligence, and it mainly uses induction, synthesis rather than deduction.

5. Recommendation algorithm is an algorithm for computer majors, which infers what users may like through some mathematical algorithms. Recommendation algorithm is to use some behaviors of users to infer what users may like through some mathematical algorithms, which plays a certain judgment role in artificial intelligence.

6. Artificial intelligence deep learning and data mining are further explorations of machine learning. In the process of learning, we can't lack the operation of actual project application. Without practical study, it is difficult to adapt to new projects in future work;

7. Distributed search engine is a device that divides the whole network into several autonomous regions according to the division criteria such as region, theme and IP address, and sets up a search server in each autonomous region. These are the main contents that artificial intelligence should learn.