Due to the arrival of the information age in China, related technologies such as big data analysis have also experienced rapid development. In this process, machine learning algorithms have gradually been recognized and applied by people. Compared with traditional machine automatic learning algorithms, technologies such as massive data analysis have stronger intelligence, can effectively achieve efficient processing of various data information, and can automatically analyze and predict data information. In the process of continuous development of technologies such as massive data analysis, algorithms related to machine automatic learning have also been applied in many fields. This article first analyzes the basic concepts of massive data and machine automatic learning algorithms, and then discusses the application strategies of machine automatic learning algorithms based on massive data analysis, hoping to provide reference assistance. Through research, it has been learned that the advent of the era of massive data has brought enormous opportunities for the development of algorithms related to machine automatic learning, and has also put forward higher requirements for algorithms related to machine automatic learning. Therefore, relevant departments and personnel should continuously strengthen the research on machine automatic learning algorithms and apply them to more fields to improve the application efficiency of machine automatic learning algorithms in the era of massive data.