This article mainly studied the teaching resource scheduling method based on machine learning, and used Support Vector Machine (SVM) to schedule teaching resources. In view of the unbalanced resource allocation and low efficiency existing in the existing teaching resource scheduling methods, this article intended to apply machine learning method into teaching resource scheduling, and optimize it with support vector machine as the representative. Through in-depth analysis and prediction of big data of teachers and students, personalized allocation of teaching resources could be realized, and teaching efficiency and resource utilization efficiency could be improved. Experimental results showed that this method could optimize the allocation of teaching resources, and the maximum could reach 92.9%. The research results of this article can provide theoretical basis for effectively managing educational resources, and improving teaching quality and teaching effect.