Abstract: The development of support vector machines (SVM)  is firstly summarized.Its application in machine learning  has great prospects.The basic SVM algorithm is analyzed,and the ideas of constructing machine learning based on SVM are presented.The kernel function and training algorithm of applying SVM in the machine learning model are put forward.Lastly,the classifying effect of the learning model is shown.

Key words: machine learning, artificial intelligence, support vector machine, pattern recognition