Algorithm engineer needs a high level of mathematics and logical thinking. Need to study advanced mathematics, linear algebra, discrete mathematics, data structure and computer courses.

Mathematics: including probability theory and mathematical statistics, matrix theory and stochastic process. Computer foundation: including operating system, composition principle and data structure. Algorithm ability: including comparing the advantages and disadvantages of mainstream models in the scene, choosing the appropriate scheme in the set scene, etc.

Algorithm strategy This is the hard power of every algorithm engineer. With clear problems and available data, we need to choose appropriate algorithm strategies to solve the problems. As far as sales forecast is concerned, because most features are tables, tree model and its variants become the first choice.

If I want to talk briefly about algorithm engineer's work, it is to realize artificial intelligence and data mining by machine learning.

Therefore, as a algorithm engineer, you must be able to program first, and your programming language must be mastered. While mastering the programming language, we should also seriously study the theory of machine learning and the knowledge of probability theory and mathematical statistics. After you gradually advanced to architecture design, you took a solid step towards algorithm engineer.

What do artificial intelligence engineers need to learn?

Skill 4: Have the most basic programming ability, and have a certain grasp of data structures and basic algorithms. Have a basic understanding of building an artificial intelligence system (such as search system, face recognition system, image retrieval system, recommendation system, etc.). ).

Good foundation in mathematics and statistics. The problems faced by artificial intelligence engineers are ever-changing. Both abstract modeling and model algorithm analysis and design stage need to be based on mathematical and statistical abilities.

Elective courses include data visualization technology, business intelligence methods and applications, machine learning, artificial intelligence technology and applications. Practical application courses include massive data preprocessing, massive data mining and visualization.

What are the professional courses of artificial intelligence?

1, artificial intelligence professional courses include: advanced mathematics, linear algebra, probability theory, mathematical statistics and stochastic processes, discrete mathematics, numerical analysis, etc. ArtificialIntelligence (AI).

2. What are the professional courses of artificial intelligence: artificial intelligence, electronics, computer, mathematics, introduction to artificial intelligence, programming basis, pattern recognition and machine learning, data structure and algorithm, algorithm analysis and design, computational intelligence, deep learning, image processing and machine vision?

3. The courses of artificial intelligence major include: society and humanities, philosophical basis and ethics of artificial intelligence, and advanced robot control.