First, the foundation of mathematics
Mathematical foundation is a very important subject in the postgraduate entrance examination of artificial intelligence major. Including advanced mathematics, linear algebra, probability theory and mathematical statistics. These basic mathematical knowledge is the basis of the research and application of artificial intelligence algorithms, which is of great significance for understanding and analyzing various artificial intelligence algorithms.
Second, the computer foundation
Computer foundation is a compulsory subject for the postgraduate entrance examination of artificial intelligence major. Including computer network, operating system, database principle and application. These basic courses can help students understand the basic operating principles of computer systems, master programming skills and data processing methods, and lay the foundation for the design and implementation of artificial intelligence algorithms.
Third, machine learning and data mining.
Machine learning and data mining are one of the core subjects of artificial intelligence postgraduate entrance examination. Machine learning studies how to make computer systems have autonomous learning ability through computer algorithms, while data mining assists decision-making by extracting useful information from a large number of data. Mastering these knowledge is very important for the research and application of artificial intelligence algorithms.
Fourth, deep learning and artificial intelligence algorithms.
Deep learning is one of the frontier technologies in the field of artificial intelligence. It imitates the structure and working principle of human brain neural network, and realizes the analysis and processing of complex patterns through multi-level feature learning and abstract representation. Mastering deep learning algorithm and its application is of great significance to graduate students majoring in artificial intelligence.
Verb (abbreviation of verb) natural language processing and knowledge map
Natural language processing is one of the important research directions in the field of artificial intelligence, which studies how to make computers understand and process human natural language. Knowledge map integrates a large number of structured knowledge and relationships into a map, which supports machine understanding and reasoning. For graduate students majoring in artificial intelligence, it is of great significance to master the related technologies of natural language processing and knowledge mapping.
Computer vision and pattern recognition of intransitive verbs
Computer vision and pattern recognition is another important research direction in the field of artificial intelligence, which studies how to understand and analyze images and videos through computers. Mastering the related technologies of computer vision and pattern recognition is very important for tasks such as image processing and target recognition.
Seven, intelligent system and its application
Intelligent system and application is a comprehensive subject of artificial intelligence, which involves the application of artificial intelligence algorithms in various fields. Learning intelligent systems and applications can help graduate students understand the specific application scenarios of artificial intelligence in medical, financial, transportation and other fields, and can design and implement corresponding intelligent systems.