Machine learning, which is an important technological development that leads to radical changes in many areas, including the education system, is an important subbranch of the field of artificial intelligence and enables computers to gain the ability to learn based on data. Machines perform all operations through codes and algorithms. By analyzing large data sets, codes and algorithms recognize patterns and make predictions using that pattern. This technology has great potential to provide students with individualized learning opportunities, help teachers monitor student progress, identify students' strengths and weaknesses, and develop better teaching strategies and materials. Additionally, automatic assessment and feedback capabilities support students' rapid progress and guide teachers to better understand students and assist when necessary. Although machine learning has great potential in the field of education, it is important to focus on ethical and security issues. This section aims to focus on the possible contributions of machine learning in the field of education and the possible contributions it can make in the future. For this purpose, first of all, questions such as "What is machine learning?", "How does machine learning work?", "What are the applications of machine learning in the field of education?" and the terminological dimension of the subject will be discussed. In the following sections, an analysis will be made on the advantages and disadvantages of machine learning. It is thought that this chapter will contribute to the field by providing a general framework for machine learning in the field of educational sciences and also revealing its areas of use in education and training processes.