Basic terms of artificial intelligence

Machine learning Machine learning refers to the ability of a computer system to improve its performance only by contacting data without following the displayed program instructions. The focus of machine learning is "how to build a computer program that can be automatically improved according to experience". For example, if the machine learning system is given a database of credit card transaction information, such as transaction time, merchant, location, price and whether the transaction is legal or not, the system will learn credit card fraud patterns that can be used for prediction. Machine learning is interdisciplinary in nature, and it adopts technologies in the fields of computer science, statistics and artificial intelligence. Machine learning has a wide range of applications, and it may improve almost all the performance for those activities that generate massive data. Nowadays, machine learning has become one of the hottest research fields in cognitive technology. Deep learning Deep learning was put forward in 2006 and is a relatively new concept. Deep learning is a machine learning technology, which is used to establish and simulate the neural network of human brain for analysis and learning, and to interpret data by imitating the mechanism of human brain. Its basic feature is to try to imitate the mode of transmitting and processing information between neurons in the brain. Obviously, "deep learning" is strongly related to "neural network" in machine learning, and "neural network" is also its main algorithm and means; Alternatively, we can call "deep learning" an improved version of the neural network algorithm. Reinforcement learning Reinforcement learning is that a subject designs a series of actions in an environment to get the best long-term return in the future.

Artificial intelligence. It is a new technical science to study and develop theories, methods, technologies and application systems that simulate, extend and expand human intelligence.

Artificial intelligence is a branch of computer science, which tries to understand the nature of intelligence and produce a new intelligent machine that can respond in a way similar to human intelligence. The research in this field includes robot, language recognition, image recognition, natural language processing and expert system. Since the birth of artificial intelligence, the theory and technology are becoming more and more mature, and the application fields are expanding. It is conceivable that the technological products brought by artificial intelligence in the future will be the "containers" of human wisdom. Artificial intelligence can simulate the information process of human consciousness and thinking. Artificial intelligence is not human intelligence, but it can think like human beings, or it may exceed human intelligence.