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机器学习作为人工智能学科的一类,主要是通过新知识与新技能的获取,从而在经验的学习之中对输入输出之间的关联加以挖掘,这样就能形成具体的逻辑关系的表达式。在研究及其学习之中,主要是根据当前认知的科学,来理解人类学习机理,从而建立出人类学习过程中所需要的认识模型或者是计算模型,这样才能基于任务来构建出特定的学习系统。在人工智能研究中,及其学习占据了重要的地位,如果智能系统本身没有学习的能力,就很难称之为真正的智能系统。但是随着人工智能的发展,也存在诸多局限性。因此,本文在分析机器学习的基础上,对其在教育中的应用进行分析探讨,希望能对机器学习有所帮助。
As a kind of artificial intelligence, machine learning is mainly through the acquisition of new knowledge and new skills, so as to mine the correlation between input and output in the process of empirical learning, so that specific logical relations can be formed. In research and study, we mainly understand the human learning mechanism based on the current cognitive science, so as to establish the cognitive model or computational model needed in the process of human learning so as to construct a specific learning based on the task system. In the study of artificial intelligence, and its learning occupy an important position, if the intelligent system itself does not have the ability to learn, it is difficult to call a real intelligent system. However, with the development of artificial intelligence, there are many limitations. Therefore, based on the analysis of machine learning, this paper analyzes its application in education and hopes to be helpful for machine learning.