Current location - Training Enrollment Network - Mathematics courses - What is the difference between machine learning and pattern recognition? Looking at the textbooks, I found that their algorithms are all similar. . .
What is the difference between machine learning and pattern recognition? Looking at the textbooks, I found that their algorithms are all similar. . .
First, the way is different

1, machine learning: it is to study the automatic processing and interpretation of patterns by computers with mathematical techniques.

2. Pattern recognition: Focus on how computers simulate or realize human learning behavior, so as to acquire new knowledge or skills, reorganize the existing knowledge structure, and continuously improve their own performance.

Second, the research process is different.

1. machine learning: learning is a complex intelligent activity, and the learning process is closely related to the reasoning process. According to the number of times reasoning is used in learning, the strategies adopted by machine learning can be roughly divided into four types: mechanical learning, teaching-based learning, analogy learning and example learning.

2. Pattern recognition refers to the process of processing and analyzing various forms of information (numerical values, words and logic) representing things or phenomena to describe, identify, classify and explain things or phenomena, which is an important part of information science and artificial intelligence.

Third, the application prospects are different.

1. machine learning: another important research field of artificial intelligence application after expert system, and also one of the core research topics of artificial intelligence and neural computing. The existing computer systems and artificial intelligence systems have almost no learning ability, at most, the learning ability is very limited, which can not meet the new requirements of science and technology and production.

The discussion of machine learning and the progress of machine learning research will certainly promote the further development of artificial intelligence and even the whole science and technology.

2. Pattern recognition: firstly, it belongs to the category of cognitive science, which studies how objects (including people) perceive objects, and secondly, how to realize the theory and method of pattern recognition with computers under given tasks. The former is the research content of physiologists, psychologists, biologists and neurophysiologists.

Baidu Encyclopedia-Pattern Recognition

Baidu encyclopedia-machine learning