Artificial intelligence belongs to the intersection of social science and natural science, involving mathematics, psychology, neurophysiology, information theory, computer science, philosophy and cognitive science, uncertainty theory and cybernetics.
Artificial intelligence can be said to be a cutting-edge subject that belongs to the intersection of social science and natural science, involving mathematics, psychology, neurophysiology, information theory, Computer science, philosophy and cognitive science, indeterminism, and cybernetics.
1. If we want to learn artificial intelligence, we can choose the major of data science and big data technology. This major is closely related to artificial intelligence. Secondly, this major is a new major this year. Many schools have This major has been added.
2. If we want to learn artificial intelligence, we can also choose the major of robotics engineering. This major is also a new major this year and is very closely related to artificial intelligence.
3. If we want to learn artificial intelligence, we can also choose computer science. This major is not a new major, but it is also very closely related to artificial intelligence. It is very good to study this major.
4. If we want to learn artificial intelligence, we can also choose the major of intelligent science and technology. There is a lot of knowledge about artificial intelligence in this major.
If you want to concentrate on academics and theoretical research, then the professional recommendation is to choose "Applied Mathematics." Current machine learning Machine learning is essentially an application scenario in mathematical fields such as differential equations, probability theory, matrix analysis, etc.
Deep learning, which has developed vigorously in recent years, is a branch of machine learning that is very close to artificial intelligence. Therefore, researchers in the field of artificial intelligence need to have a solid mathematical foundation to conduct theoretical research on AI. This major mainly trains students in mathematical foundations, such as differential equations, linear algebra, mathematical statistics, information theory, etc., which are the basis of artificial intelligence and machine learning.
In addition to these basic subject knowledge, you can also learn about traditional machine learning knowledge and practice more programming skills and English. However, students who have completed undergraduate applied mathematics majors usually transfer to computer science if they study for graduate school. Or economic direction.
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