The paper introduces the basic idea, classification, common method and development history of machine learning, elaborates on the application status of machine learning in food safety risk early warning, including BP neural network, Bayesian network, Autoregressive Integrated Moving Average (ARIMA) model and Decision Trees(DT), Support Vector machines (SVM) model, etc. It also analyzes the current issues in the development and discusses the future direction.